PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ?paper ( COUNT( DISTINCT ?author ) AS ?totalAuthors ) ( COUNT( DISTINCT ?orcidAuthor ) AS ?orcidAuthors ) ( ( COUNT( DISTINCT ?orcidAuthor ) * 1.0 / COUNT( DISTINCT ?author ) ) * 100 AS ?orcidPercent ) WHERE {
  ?paper dblp:publishedAsPartOf <https://dblp.org/rec/conf/stoc/2018> ; dblp:authoredBy ?author .
  OPTIONAL {
    ?author dblp:orcid ?orcid .
    BIND( ?author AS ?orcidAuthor )
  }
}
GROUP BY ?paper

Got 113 rows and 4 columns, showing the first 5 and last 5 rows below:
| paper                                                                                | totalAuthors | orcidAuthors | orcidPercent          |
| --------------------------------------------------------------------------------------------------------------------- | ------------ | ------------ | --------------------- |
| Jeff Erickson et al.: Holiest mi... flows in surface graphs. (2018) (<https://dblp.org/rec/conf/stoc/0001FL18>)       | 3 (xsd:int)  | 1 (xsd:int)  | 33.3333 (xsd:decimal) |
| Fabrizio Grandoni et al.: Improv...tion: saving by rewiring. (2018) (<https://dblp.org/rec/conf/stoc/0001KZ18>)       | 3 (xsd:int)  | 2 (xsd:int)  | 66.6667 (xsd:decimal) |
| Heng Guo et al.: Counting hyperg...n the local lemma regime. (2018) (<https://dblp.org/rec/conf/stoc/0001LLZ18>)      | 4 (xsd:int)  | 3 (xsd:int)  | 75 (xsd:decimal)      |
| Fabrizio Grandoni et al.: A (5/3...g small tasks into boxes. (2018) (<https://dblp.org/rec/conf/stoc/0001MW018>)      | 4 (xsd:int)  | 3 (xsd:int)  | 75 (xsd:decimal)      |
| Zhiyi Huang et al.: How to match...l vertices arrive online. (2018) (<https://dblp.org/rec/conf/stoc/0002KTWZZ18>)    | 6 (xsd:int)  | 4 (xsd:int)  | 66.6667 (xsd:decimal) |
| ...                                                                                | ...          | ...          | ...                   |
| Alexander A. Sherstov: Algorithmic polynomials. (2018) (<https://dblp.org/rec/conf/stoc/Sherstov18>)                  | 1 (xsd:int)  | 1 (xsd:int)  | 100 (xsd:decimal)     |
| Max Simchowitz et al.: Tight que...mple deformed wigner law. (2018) (<https://dblp.org/rec/conf/stoc/SimchowitzAR18>) | 3 (xsd:int)  | 0 (xsd:int)  | 0 (xsd:decimal)       |
| Karthik C. S. et al.: On the par...oximating dominating set. (2018) (<https://dblp.org/rec/conf/stoc/SLM18>)          | 3 (xsd:int)  | 3 (xsd:int)  | 100 (xsd:decimal)     |
| Ola Svensson et al.: A constant-...aveling salesman problem. (2018) (<https://dblp.org/rec/conf/stoc/SvenssonTV18>)   | 3 (xsd:int)  | 2 (xsd:int)  | 66.6667 (xsd:decimal) |
| Roei Tell: Quantified derandomiz...inear threshold circuits. (2018) (<https://dblp.org/rec/conf/stoc/Tell18>)         | 1 (xsd:int)  | 1 (xsd:int)  | 100 (xsd:decimal)     |

This query returns all STOC 2018 papers, with each paper's total number of authors, number of ORCID-certified authors, and the percentage of authors with ORCIDs.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] All STOC 2018 papers, with each paper’s total number of authors, number of ORCID-certified authors, and the percentage of authors with ORCIDs

[Assistant]
Let's break down the question:

1. We need all papers from STOC 2018.
2. For each paper, we want:
   - The total number of authors.
   - The number of authors with ORCID identifiers.
   - The percentage of authors with ORCIDs.

Step 1: Find the entity for STOC 2018.
Step 2: Find the property linking papers to conferences/venues and years.
Step 3: For each paper, get its authors.
Step 4: For each author, check if they have an ORCID.
Step 5: Aggregate counts and calculate the percentage.

Let's start by searching for "STOC 2018" in the dblp knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Stochastic Models. (2018) (<https://dblp.org/rec/reference/snam/X18xnh>)
2. Stochastic Matrix. (2018) (<https://dblp.org/rec/reference/snam/X18xng>)
3. Political Stock Markets. (2018) (<https://dblp.org/rec/reference/snam/X18xbt>)
4. Stochastic Actor-Based Models. (2018) (<https://dblp.org/rec/reference/snam/X18xne>)
5. John Wilson et al.: Taking Stock. (2018) (<https://dblp.org/rec/journals/tgis/WilsonSZ18>)
6. Xi-Lin Li: Preconditioned Stochastic Gradient Descent. (2018) (<https://dblp.org/rec/journals/tnn/Li18>)
7. Eilon Solan: The modified stochastic game. (2018) (<https://dblp.org/rec/journals/ijgt/Solan18>)
8. Thomas Voice: Stochastic Thermal Load Management. (2018) (<https://dblp.org/rec/journals/tac/Voice18>)
9. Roland Badeau: Unified Stochastic Reverberation Modeling. (2018) (<https://dblp.org/rec/conf/eusipco/Badeau18>)
10. Mahdi Azarafrooz: Doubly Stochastic Adversarial Autoencoder. (2018) (<https://dblp.org/rec/journals/corr/abs-1807-07603>)

[Assistant]
It appears that searching for "STOC 2018" returned results related to "stochastic" rather than the "Symposium on Theory of Computing (STOC)" conference. This suggests that the entity for the conference or its 2018 edition may not be directly indexed under "STOC 2018".

Let's try searching for "Symposium on Theory of Computing" to find the correct conference series entity, and then we can look for its 2018 edition or papers published in 2018.

[Tool]
Top 10 entity alternatives:
1. Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>)
2. Israel Symposium on Theory of Computing Systems (ISTCS) (<https://dblp.org/streams/conf/istcs>)
3. Pierpaolo Degano et al.: Computi...he Theory of Computation. (1999) (<https://dblp.org/rec/journals/csur/DeganoGMW99>)
4. Symposium on Foundations of Responsible Computing (FORC) (<https://dblp.org/streams/conf/forc>)
5. ACM Symposium on Principles of Distributed Computing (PODC) (<https://dblp.org/streams/conf/podc>)
6. International Symposium on Fundamentals of Computation Theory (FCT) (<https://dblp.org/streams/conf/fct>)
7. Sanjeev Khanna and Aravind Srini...m on Theory of Computing. (2004) (<https://dblp.org/rec/journals/jcss/KhannaS04>)
8. International Symposium on Algor...s of Cloud Computing (ALGOCLOUD) (<https://dblp.org/streams/conf/algocloud>)
9. Theory of Computing (<https://dblp.org/streams/journals/toc>)
10. Second Israel Symposium on Theor...ne 7-9, 1993, Proceedings (1993) (<https://dblp.org/rec/conf/istcs/1993>)

[Assistant]
We have found the correct entity for the "Symposium on the Theory of Computing (STOC)":
<https://dblp.org/streams/conf/stoc>

Now, let's determine how papers are linked to this conference and how to filter for the 2018 edition. Typically, papers are linked to conferences via properties like "published in" or "event", and the year is often a property of the paper or the event.

Let's search for properties related to "year" and "published in" to see how we can filter for STOC 2018 papers.

[Tool]
Top 10 property alternatives:
1. webpage (dblp:webpage): The URL of a web page about this item., Entity
2. wikidata (dblp:wikidata): A wikidata item., identifier, Entity
3. stream title (dblp:streamTitle): A title of the stream., Stream
4. primary stream title (dblp:primaryStreamTitle): The primary title of the stream., streamTitle, Stream
5. wikipedia (dblp:wikipedia): The URL of an (English) Wikipedia article about this item., webpage, Entity

No other items found

[Assistant]
It seems the conference stream entity itself does not have a "year" property. Likely, the year is associated with individual conference editions or with the papers themselves.

Let's search for properties related to "published in" or "event" for papers, to see how papers are linked to conferences or conference editions.

[Tool]
Top 10 property alternatives:
1. published in (dblp:publishedIn): The name of the series, the journal, or the book in which the pu...journals and conference series are modelled as proper entities.), Publication
2. published as part of (dblp:publishedAsPartOf): The publication has been published as a part of the other publication., Publication
3. published in journal (dblp:publishedInJournal): The name of the journal in which the publication has been publis...journals and conference series are modelled as proper entities.), publishedIn, Publication
4. published in book (dblp:publishedInBook): The name of the book in which the publication has been published...journals and conference series are modelled as proper entities.), Publication, publishedIn
5. published by (dblp:publishedBy): The publisher of the publication. (Remark: This property current...string values until publishers are modelled as proper entities.), Publication
6. published in journal volume (dblp:publishedInJournalVolume): The volume of the journal in which the publication has been publ...journals and conference series are modelled as proper entities.), Publication
7. published in journal volume issue (dblp:publishedInJournalVolumeIssue): The issue of the journal in which the publication has been publi...journals and conference series are modelled as proper entities.), Publication
8. year of publication (dblp:yearOfPublication): The year the publication's issue or volume has been published., Publication
9. publication note (dblp:publicationNote): An additional note to the publication., Publication
10. published in book chapter (dblp:publishedInBookChapter): The chapter of the book in which the publication has been publis...journals and conference series are modelled as proper entities.), Publication

[Assistant]
We have found two relevant properties:
- dblp:publishedIn (links a publication to the conference series or journal)
- dblp:yearOfPublication (gives the year)

So, to get all STOC 2018 papers, we need to find papers where:
- dblp:publishedIn is <https://dblp.org/streams/conf/stoc>
- dblp:yearOfPublication is 2018

Next, let's check how authors are linked to papers, and how ORCID information is stored for authors.

[Tool]
Top 10 property alternatives:
1. authored by (dblp:authoredBy): The publication is authored by the creator., Publication, createdBy, Creator
2. published by (dblp:publishedBy): The publisher of the publication. (Remark: This property current...string values until publishers are modelled as proper entities.), Publication
3. edited by (dblp:editedBy): The publication is edited by the creator., Publication, createdBy, Creator
4. published in (dblp:publishedIn): The name of the series, the journal, or the book in which the pu...journals and conference series are modelled as proper entities.), Publication
5. published in book (dblp:publishedInBook): The name of the book in which the publication has been published...journals and conference series are modelled as proper entities.), Publication, publishedIn
6. creator name (dblp:creatorName): The full name of the creator., Creator
7. year of publication (dblp:yearOfPublication): The year the publication's issue or volume has been published., Publication
8. published in series (dblp:publishedInSeries): The name of the series in which the publication has been publish...journals and conference series are modelled as proper entities.), Publication, publishedIn
9. created by (dblp:createdBy): The publication is created by the creator., Publication, Creator
10. published in book chapter (dblp:publishedInBookChapter): The chapter of the book in which the publication has been publis...journals and conference series are modelled as proper entities.), Publication

[Assistant]
The relevant property for linking papers to authors is:
- dblp:authoredBy (the publication is authored by the creator)

Now, let's check how ORCID information is stored for authors. We'll search for properties related to "ORCID".

[Tool]
Top 10 property alternatives:
1. orcid (dblp:orcid): An Open Researcher and Contributor ID., identifier, Creator
2. signature orcid (dblp:signatureOrcid): An ORCID that links the publication to a creator., Signature
3. omid (dblp:omid): An OpenCitations Meta Identifier., Publication, identifier
4. doi (dblp:doi): A Digital Object Identifier., Publication, identifier
5. signature ordinal (dblp:signatureOrdinal): The ordinal number of this signature for the publication, starting with 1., Signature
6. version ordinal (dblp:versionOrdinal): The ordinal number of the specific (instance) publication versio...ge, nor is there a necessary relationship to the version labels., VersionRelation
7. published by (dblp:publishedBy): The publisher of the publication. (Remark: This property current...string values until publishers are modelled as proper entities.), Publication
8. published in (dblp:publishedIn): The name of the series, the journal, or the book in which the pu...journals and conference series are modelled as proper entities.), Publication
9. affiliation (dblp:affiliation): A (past or present) affiliation of the creator. (Remark: This pr...ring values until institutions are modelled as proper entities.), creatorNote, Creator
10. edited by (dblp:editedBy): The publication is edited by the creator., Publication, createdBy, Creator

[Assistant]
There are two relevant properties:
- dblp:orcid (an ORCID for a Creator/Author)
- dblp:signatureOrcid (an ORCID that links the publication to a creator, possibly for author-paper pairs)

To be thorough, let's check how dblp:authoredBy and dblp:orcid are used together for a sample paper. We'll list triples for a paper published in STOC to see the structure.

[Tool]
Top 10 entity alternatives:
1. Stochastic Models. (2018) (<https://dblp.org/rec/reference/snam/X18xnh>)
2. Stochastic Matrix. (2018) (<https://dblp.org/rec/reference/snam/X18xng>)
3. Political Stock Markets. (2018) (<https://dblp.org/rec/reference/snam/X18xbt>)
4. Stochastic Actor-Based Models. (2018) (<https://dblp.org/rec/reference/snam/X18xne>)
5. John Wilson et al.: Taking Stock. (2018) (<https://dblp.org/rec/journals/tgis/WilsonSZ18>)
6. Xi-Lin Li: Preconditioned Stochastic Gradient Descent. (2018) (<https://dblp.org/rec/journals/tnn/Li18>)
7. Eilon Solan: The modified stochastic game. (2018) (<https://dblp.org/rec/journals/ijgt/Solan18>)
8. Thomas Voice: Stochastic Thermal Load Management. (2018) (<https://dblp.org/rec/journals/tac/Voice18>)
9. Roland Badeau: Unified Stochastic Reverberation Modeling. (2018) (<https://dblp.org/rec/conf/eusipco/Badeau18>)
10. Mahdi Azarafrooz: Doubly Stochastic Adversarial Autoencoder. (2018) (<https://dblp.org/rec/journals/corr/abs-1807-07603>)

[Tool] Got no rows and 1 columns

[Assistant]
It appears that querying for papers with dblp:publishedIn <https://dblp.org/streams/conf/stoc> and dblp:yearOfPublication 2018 did not return any results. This could mean that the actual conference edition for STOC 2018 is modeled as a separate entity, not just as the stream plus year.

Let's try searching for "STOC 2018" as a conference edition or proceedings, to find the correct entity for that specific year.

[Tool]
Top 10 entity alternatives:
1. Digital Health Conference 2018. (2018) (<https://dblp.org/rec/journals/wm/X18y>)
2. Stochastic Models. (2018) (<https://dblp.org/rec/reference/snam/X18xnh>)
3. Stochastic Matrix. (2018) (<https://dblp.org/rec/reference/snam/X18xng>)
4. Michael Rovatsos: Conference reports. (2018) (<https://dblp.org/rec/journals/aimatters/Rovatsos18f>)
5. Michael Rovatsos: Conference reports. (2018) (<https://dblp.org/rec/journals/aimatters/Rovatsos18c>)
6. Bernadette Bouchon-Meunier: [Conference Calendar]. (2018) (<https://dblp.org/rec/journals/cim/Bouchon-Meunier18b>)
7. Bernadette Bouchon-Meunier: [Conference Calendar]. (2018) (<https://dblp.org/rec/journals/cim/Bouchon-Meunier18a>)
8. Political Stock Markets. (2018) (<https://dblp.org/rec/reference/snam/X18xbt>)
9. Stochastic Actor-Based Models. (2018) (<https://dblp.org/rec/reference/snam/X18xne>)
10. Michael Rovatsos: AI conference reports. (2018) (<https://dblp.org/rec/journals/aimatters/Rovatsos18a>)

[Assistant] Searching for "STOC conference 2018" did not yield the specific proceedings or edition entity either. Let's try searching for "STOC" and look for an entity corresponding to the 2018 proceedings or edition among the results.

[Tool]
Top 10 entity alternatives:
1. Stock, also known as Stock (<https://dblp.org/pid/46/3376>)
2. Ruth Stock-Homburg, also known as Ruth Stock-Homburg (<https://dblp.org/pid/169/8723>)
3. Markus Stocker, also known as Markus Stocker (<https://dblp.org/pid/76/6108>)
4. Ben Stock, also known as Ben Stock (<https://dblp.org/pid/136/8343>)
5. Andrea Stocco 0001, also known as Andrea Stocco (<https://dblp.org/pid/64/1715-1>)
6. Kurt Stockinger, also known as Kurt Stockinger (<https://dblp.org/pid/38/5145>)
7. Andrea Stocco 0002, also known as Andrea Stocco (<https://dblp.org/pid/64/1715-2>)
8. Kristin Stock, also known as Kristin Stock (<https://dblp.org/pid/25/4346>)
9. Heinz Stockinger, also known as Heinz Stockinger (<https://dblp.org/pid/86/510>)
10. Ann-Kathrin Stock, also known as Ann-Kathrin Stock (<https://dblp.org/pid/165/4528>)

[Assistant] The search for "STOC" returned mostly author names, not the conference or its proceedings. Since the conference stream entity exists, but papers are not directly linked to it with the properties we tried, let's try searching for "STOC 2018 proceedings" to find the proceedings volume, which should be linked to the papers.

[Tool]
Top 10 entity alternatives:
1. Stochastic Models. (2018) (<https://dblp.org/rec/reference/snam/X18xnh>)
2. Stochastic Matrix. (2018) (<https://dblp.org/rec/reference/snam/X18xng>)
3. ISMB 2018 PROCEEDINGS PAPERS COMMITTEE. (2018) (<https://dblp.org/rec/journals/bioinformatics/X18>)
4. Political Stock Markets. (2018) (<https://dblp.org/rec/reference/snam/X18xbt>)
5. Stochastic Actor-Based Models. (2018) (<https://dblp.org/rec/reference/snam/X18xne>)
6. Yana Bromberg and Predrag Radivojac: ISMB 2018 proceedings. (2018) (<https://dblp.org/rec/journals/bioinformatics/BrombergR18>)
7. John Wilson et al.: Taking Stock. (2018) (<https://dblp.org/rec/journals/tgis/WilsonSZ18>)
8. Xi-Lin Li: Preconditioned Stochastic Gradient Descent. (2018) (<https://dblp.org/rec/journals/tnn/Li18>)
9. Eilon Solan: The modified stochastic game. (2018) (<https://dblp.org/rec/journals/ijgt/Solan18>)
10. Thomas Voice: Stochastic Thermal Load Management. (2018) (<https://dblp.org/rec/journals/tac/Voice18>)

[Assistant]
The search for "STOC 2018 proceedings" did not return the desired entity. It seems the search index is not matching "STOC" to the conference series or its proceedings, possibly due to naming conventions or abbreviations.

Given that dblp:publishedIn links to the conference series, let's try a broader query: get a few papers with dblp:publishedIn <https://dblp.org/streams/conf/stoc> and see what years are available, to check if the year property is stored differently or under a different name.

[Tool] Got no rows and 2 columns

[Assistant]
No results were returned for papers with dblp:publishedIn <https://dblp.org/streams/conf/stoc>. This suggests that either:
- The papers are not directly linked to the conference stream entity, or
- The property used is different, or
- The conference edition is modeled as a separate entity.

Let's try searching for "Theory of Computing 2018" to see if the proceedings or edition entity is named differently.

[Tool]
Top 10 entity alternatives:
1. Theory of Computing (<https://dblp.org/streams/journals/toc>)
2. Paolo Dini et al.: BIOMICS: a Th...of Interaction Computing. (2018) (<https://dblp.org/rec/series/ncs/DiniNRSH18>)
3. Theory of Computing Systems (<https://dblp.org/streams/journals/mst>)
4. Carsten Witt: Theory of estimati...-distribution algorithms. (2018) (<https://dblp.org/rec/conf/gecco/Witt18a>)
5. Kenichi Morita: Theory of Reversible Computing (2017) (<https://dblp.org/rec/series/eatcs/Morita17>)
6. Riktesh Srivastava: Exploration ...ics using queuing theory. (2018) (<https://dblp.org/rec/conf/hp3c/Srivastava18>)
7. Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>)
8. Andrey Minarsky et al.: Theory of Morphogenesis. (2018) (<https://dblp.org/rec/journals/jcb/MinarskyMPS18>)
9. Tim Gorichanaz: A first-person theory of documentation. (2018) (<https://dblp.org/rec/journals/jd/Gorichanaz18>)
10. Ilwoo Hwang: A theory of bargaining deadlock. (2018) (<https://dblp.org/rec/journals/geb/Hwang18>)

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                                                                            | property                                     | object                                                           |
| ---------------------------------------------------------------------------------- | -------------------------------------------- | ---------------------------------------------------------------- |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | wikidata (dblp:wikidata)                     | wd:Q7661893                                                      |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | webpage (dblp:webpage)                       | <http://acm-stoc.org/>                                           |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | wikipedia (dblp:wikipedia)                   | <https://en.wikipedia.org/wiki/Symposium_on_Theory_of_Computing> |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | streamTitle (dblp:streamTitle)               | Symposium on the Theory of Computing (STOC)                      |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | indexPage (dblp:indexPage)                   | <https://dblp.org/db/conf/stoc/index>                            |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | primaryStreamTitle (dblp:primaryStreamTitle) | Symposium on the Theory of Computing (STOC)                      |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | rdf:type                                     | Conference (dblp:Conference)                                     |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | datacite:hasIdentifier                       | _:bn40470330                                                     |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | rdfs:label                                   | Symposium on the Theory of Computing (STOC)                      |
| Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) | owl:sameAs                                   | wd:Q7661893                                                      |
| ...                                                                                | ...                                          | ...                                                              |

[Tool] Constraint "indexPage" for property position is not a valid IRI. IRIs can be given in prefixed form, like "wd:Q937", as URIs, like "http://www.wikidata.org/entity/Q937", or in full form, like "<http://www.wikidata.org/entity/Q937>".

[Tool] Got no rows and 3 columns

[Assistant]
It appears that papers are not directly linked to the conference stream entity via dblp:publishedIn. This suggests that each conference edition (e.g., STOC 2018) may have its own entity, and papers are linked to that edition.

Let's try searching for "STOC 50th" or "STOC L" (since 2018 was the 50th edition) or "STOC San Francisco 2018" to find the proceedings or edition entity for STOC 2018.

[Tool]
Top 10 entity alternatives:
1. Stock, also known as Stock (<https://dblp.org/pid/46/3376>)
2. Ruth Stock-Homburg, also known as Ruth Stock-Homburg (<https://dblp.org/pid/169/8723>)
3. Markus Stocker, also known as Markus Stocker (<https://dblp.org/pid/76/6108>)
4. Ben Stock, also known as Ben Stock (<https://dblp.org/pid/136/8343>)
5. Andrea Stocco 0001, also known as Andrea Stocco (<https://dblp.org/pid/64/1715-1>)
6. Kurt Stockinger, also known as Kurt Stockinger (<https://dblp.org/pid/38/5145>)
7. Andrea Stocco 0002, also known as Andrea Stocco (<https://dblp.org/pid/64/1715-2>)
8. Kristin Stock, also known as Kristin Stock (<https://dblp.org/pid/25/4346>)
9. Heinz Stockinger, also known as Heinz Stockinger (<https://dblp.org/pid/86/510>)
10. Ann-Kathrin Stock, also known as Ann-Kathrin Stock (<https://dblp.org/pid/165/4528>)

[Tool]
Top 10 entity alternatives:
1. Francisco Sandoval 0001, also known as Francisco Sandoval (<https://dblp.org/pid/82/6914-1>)
2. Francisco Sandoval 0002, also known as Francisco Sandoval (<https://dblp.org/pid/82/6914-2>)
3. Francisco Sánchez-García, also known as Francisco Sánchez-García (<https://dblp.org/pid/143/2045>)
4. Francisco Santamaria, also known as Francisco Santamaria (<https://dblp.org/pid/166/2733>)
5. Francisco Santana-Jorge, also known as Francisco Santana-Jorge (<https://dblp.org/pid/131/5775>)
6. Francisco Santana-Sarmiento, also known as Francisco Santana-Sarmiento (<https://dblp.org/pid/287/6668>)
7. Francisco Santonja, also known as Francisco Santonja (<https://dblp.org/pid/159/3598>)
8. Francisco Sanz, also known as Francisco Sanz (<https://dblp.org/pid/73/9889>)
9. Francisco Santos, also known as Francisco Santos (<https://dblp.org/pid/42/2038>)
10. Francisco Santoyo, also known as Francisco Santoyo (<https://dblp.org/pid/133/8754>)

[Assistant]
None of the searches for the specific edition or location returned the proceedings or edition entity for STOC 2018. Given that the search index is not matching "STOC" to the conference or its proceedings, and that papers are not directly linked to the stream entity, it is likely that the edition/proceedings entity uses a different naming or structure.

Given the constraints of the search and the structure of the dblp knowledge graph, I am unable to reliably identify the STOC 2018 proceedings or its papers, and therefore cannot construct a SPARQL query to answer the original question.

If you have a specific paper from STOC 2018, I could try to work from that example to find the structure, but with the current information, I must stop here.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The explanation correctly identifies that the query did not return any results and that the main challenge is identifying the correct entity for the STOC 2018 proceedings in the dblp knowledge graph. However, the attempted SPARQL query is too simplistic and may not reflect all possible ways STOC 2018 papers could be represented in dblp. For example, the proceedings might be referenced by a different IRI, or the year might be attached to the proceedings entity rather than the individual papers. The query should be refined to first search for possible proceedings entities for STOC 2018 (e.g., by label or partial match), then retrieve their papers. Additionally, the query should be extended to count authors, identify ORCID-certified authors, and compute the percentage, as requested. The current attempt stops too early and does not exhaust all reasonable options for identifying the relevant papers.

[Assistant]
Thank you for the feedback. I agree that a more thorough approach is needed, especially to identify the proceedings entity for STOC 2018, which may be referenced by a different IRI or label, and to explore how papers are linked to it. Here’s how I’ll proceed:

**Step 1: Search for Proceedings Entities by Label**
Since the proceedings may be referenced by a label such as “STOC 2018”, “Symposium on the Theory of Computing 2018”, or similar, I will search for entities containing “STOC” and “2018” in their label.

**Step 2: Inspect Candidate Proceedings Entities**
Once I find candidate proceedings entities, I will inspect their properties to see how papers are linked to them (e.g., via dblp:publishedIn, dblp:publishedAsPartOf, or other properties).

**Step 3: Retrieve Papers and Author Information**
For each paper, I will retrieve the list of authors, check for ORCID information, and aggregate the required statistics.

Let’s start by searching for entities with “STOC” and “2018” in their label.

[Tool]
Top 10 entity alternatives:
1. Stock, also known as Stock (<https://dblp.org/pid/46/3376>)
2. Ruth Stock-Homburg, also known as Ruth Stock-Homburg (<https://dblp.org/pid/169/8723>)
3. Markus Stocker, also known as Markus Stocker (<https://dblp.org/pid/76/6108>)
4. Ben Stock, also known as Ben Stock (<https://dblp.org/pid/136/8343>)
5. Andrea Stocco 0001, also known as Andrea Stocco (<https://dblp.org/pid/64/1715-1>)
6. Kurt Stockinger, also known as Kurt Stockinger (<https://dblp.org/pid/38/5145>)
7. Andrea Stocco 0002, also known as Andrea Stocco (<https://dblp.org/pid/64/1715-2>)
8. Kristin Stock, also known as Kristin Stock (<https://dblp.org/pid/25/4346>)
9. Heinz Stockinger, also known as Heinz Stockinger (<https://dblp.org/pid/86/510>)
10. Ann-Kathrin Stock, also known as Ann-Kathrin Stock (<https://dblp.org/pid/165/4528>)

[Tool]
Top 10 entity alternatives:
1. Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>)
2. Israel Symposium on Theory of Computing Systems (ISTCS) (<https://dblp.org/streams/conf/istcs>)
3. Costis Daskalakis et al.: Specia...of Computing (STOC 2015). (2018) (<https://dblp.org/rec/journals/siamcomp/DaskalakisKI18>)
4. Thomas Vidick et al.: Special Se...of Computing (STOC 2018). (2020) (<https://dblp.org/rec/journals/siamcomp/VidickNA20>)
5. Adam Smith and Jochen Könemann: ...of Computing (STOC 2014). (2018) (<https://dblp.org/rec/journals/siamcomp/SmithK18>)
6. Pierpaolo Degano et al.: Computi...he Theory of Computation. (1999) (<https://dblp.org/rec/journals/csur/DeganoGMW99>)
7. Proceedings of the ACM Symposium... USA, October 11-13, 2018 (2018) (<https://dblp.org/rec/conf/cloud/2018>)
8. Petr Kuznetsov: The First Summer...ent Computing SPTCC 2017. (2018) (<https://dblp.org/rec/journals/sigact/Kuznetsov18>)
9. Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>)
10. Saeed Salehi: On Axiomatizabilit...cative Theory of Numbers. (2018) (<https://dblp.org/rec/journals/fuin/Salehi18>)

[Tool]
Got 22 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                       | object                                                                             |
| ----------------------------------------------------------------------------------------------------------- | ---------------------------------------------- | ---------------------------------------------------------------------------------- |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | hasSignature (dblp:hasSignature)               | _:bn10993068                                                                       |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | createdBy (dblp:createdBy)                     | Monika Henzinger (<https://dblp.org/pid/h/MonikaRauchHenzinger>)                   |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | publishedInStream (dblp:publishedInStream)     | Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | documentPage (dblp:documentPage)               | <http://dl.acm.org/citation.cfm?id=3188745>                                        |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | bibtexType (dblp:bibtexType)                   | bibtex:Proceedings                                                                 |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | numberOfCreators (dblp:numberOfCreators)       | 3 (xsd:int)                                                                        |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | title (dblp:title)                             | Proceedings of the 50th Annual A...geles, CA, USA, June 25-29, 2018                |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | yearOfPublication (dblp:yearOfPublication)     | 2018 (xsd:gYear)                                                                   |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | listedOnTocPage (dblp:listedOnTocPage)         | <https://dblp.org/db/conf/stoc/stoc2018>                                           |
| Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) | primaryDocumentPage (dblp:primaryDocumentPage) | <http://dl.acm.org/citation.cfm?id=3188745>                                        |
| ...                                                                                | ...                                            | ...                                                                                |

[Tool]
Got 113 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                   | object                                                                                |
| ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------ | ----------------------------------------------------------------------------------------------------------- |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>)                      | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| Alkida Balliu et al.: New classe...tributed time complexity. (2018) (<https://dblp.org/rec/conf/stoc/BalliuHKLOS18>)     | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| Artur Czumaj et al.: Round compr...llel matching algorithms. (2018) (<https://dblp.org/rec/conf/stoc/CzumajLMMOS18>)     | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| Debbie W. Leung et al.: Capacity...ve quantum communication. (2018) (<https://dblp.org/rec/conf/stoc/LeungNSTYY18>)      | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| Zhiyi Huang et al.: How to match...l vertices arrive online. (2018) (<https://dblp.org/rec/conf/stoc/0002KTWZZ18>)       | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| Albert Atserias et al.: Clique i...e for regular resolution. (2018) (<https://dblp.org/rec/conf/stoc/AtseriasBRLNR18>)   | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| Saikrishna Badrinarayanan et al....eterministic computation. (2018) (<https://dblp.org/rec/conf/stoc/BadrinarayananK18>) | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| Mark de Berg et al.: A framework...tric intersection graphs. (2018) (<https://dblp.org/rec/conf/stoc/BergBKMZ18>)        | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| Christian Ikenmeyer et al.: On t... of hazard-free circuits. (2018) (<https://dblp.org/rec/conf/stoc/IkenmeyerKLLMS18>)  | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| Zeyuan Allen-Zhu et al.: Operato...ynomial identity testing. (2018) (<https://dblp.org/rec/conf/stoc/Allen-ZhuGLOW18>)   | publishedAsPartOf (dblp:publishedAsPartOf) | Ilias Diakonikolas et al.: Proce...CA, USA, June 25-29, 2018 (2018) (<https://dblp.org/rec/conf/stoc/2018>) |
| ...                                                                                | ...                                        | ...                                                                                |

[Tool]
Got 47 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                   | object                                                                             |
| --------------------------------------------------------------------------------------------------- | ------------------------------------------ | ---------------------------------------------------------------------------------- |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | hasSignature (dblp:hasSignature)           | _:bn10988323                                                                       |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | createdBy (dblp:createdBy)                 | Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>)                              |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | authoredBy (dblp:authoredBy)               | Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>)                              |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | publishedInStream (dblp:publishedInStream) | Symposium on the Theory of Computing (STOC) (<https://dblp.org/streams/conf/stoc>) |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | documentPage (dblp:documentPage)           | <https://doi.org/10.1145/3188745.3188878>                                          |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | bibtexType (dblp:bibtexType)               | bibtex:Inproceedings                                                               |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | numberOfCreators (dblp:numberOfCreators)   | 8 (xsd:int)                                                                        |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | title (dblp:title)                         | Fast fencing.                                                                      |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | yearOfPublication (dblp:yearOfPublication) | 2018 (xsd:gYear)                                                                   |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>) | listedOnTocPage (dblp:listedOnTocPage)     | <https://dblp.org/db/conf/stoc/stoc2018>                                           |
| ...                                                                                | ...                                        | ...                                                                                |

[Tool]
Got 31 rows and 3 columns, showing the first 10 rows below:
| subject                                               | property                                     | object                                        |
| ----------------------------------------------------- | -------------------------------------------- | --------------------------------------------- |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | creatorname (dblp:creatorName)               | Mikkel Thorup                                 |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | primaryCreatorName (dblp:primaryCreatorName) | Mikkel Thorup                                 |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | wikidata (dblp:wikidata)                     | wd:Q1659407                                   |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | affiliation (dblp:affiliation)               | University of Copenhagen, Denmark             |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | orcid (dblp:orcid)                           | <https://orcid.org/0000-0001-5237-1709>       |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | primaryAffiliation (dblp:primaryAffiliation) | University of Copenhagen, Denmark             |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | webpage (dblp:webpage)                       | <https://dl.acm.org/profile/81100560134>      |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | homepage (dblp:homepage)                     | <http://www.diku.dk/~mthorup>                 |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | primaryHomepage (dblp:primaryHomepage)       | <http://www.diku.dk/~mthorup>                 |
| Mikkel Thorup (<https://dblp.org/pid/t/MikkelThorup>) | wikipedia (dblp:wikipedia)                   | <https://en.wikipedia.org/wiki/Mikkel_Thorup> |
| ...                                                   | ...                                          | ...                                           |

[Tool]
Top 10 property alternatives:
1. has signature (dblp:hasSignature): A signature that links this publication to an creator., Publication, Signature
2. signature creator (dblp:signatureCreator): A linked creator of the publication., Signature, Creator
3. signature orcid (dblp:signatureOrcid): An ORCID that links the publication to a creator., Signature
4. signature publication (dblp:signaturePublication): The publication of this signature., Publication, Signature
5. signature ordinal (dblp:signatureOrdinal): The ordinal number of this signature for the publication, starting with 1., Signature
6. signature dblp name (dblp:signatureDblpName): A dblp name (including any possible trailing homonym number) that links the publication to a creator., Signature
7. affiliation (dblp:affiliation): A (past or present) affiliation of the creator. (Remark: This pr...ring values until institutions are modelled as proper entities.), creatorNote, Creator
8. creator note (dblp:creatorNote): An additional note about the creator., Creator
9. orcid (dblp:orcid): An Open Researcher and Contributor ID., identifier, Creator
10. created by (dblp:createdBy): The publication is created by the creator., Publication, Creator

[Tool] Constraint "_:bn10988323" for subject position is not a valid IRI. IRIs can be given in prefixed form, like "wd:Q937", as URIs, like "http://www.wikidata.org/entity/Q937", or in full form, like "<http://www.wikidata.org/entity/Q937>".

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| paper                                                                                | author                                                  | orcid                                   |
| -------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------- | --------------------------------------- |
| Divesh Aggarwal and Noah Stephen...ap/S)ETH hardness of SVP. (2018) (<https://dblp.org/rec/conf/stoc/AggarwalS18>)   | Divesh Aggarwal (<https://dblp.org/pid/00/3379>)        |                                         |
| Ivona Bezáková et al.: Inapproxi...ial in the complex plane. (2018) (<https://dblp.org/rec/conf/stoc/BezakovaGGS18>) | Daniel Stefankovic (<https://dblp.org/pid/00/3605>)     | <https://orcid.org/0000-0002-4849-7955> |
| Mark Bun et al.: Composable and ...rivacy via truncated CDP. (2018) (<https://dblp.org/rec/conf/stoc/BunDRS18>)      | Guy N. Rothblum (<https://dblp.org/pid/00/6232>)        | <https://orcid.org/0000-0001-5273-6472> |
| Daniel Neuen and Pascal Schweitz...ms for graph isomorphism. (2018) (<https://dblp.org/rec/conf/stoc/NeuenS18>)      | Pascal Schweitzer (<https://dblp.org/pid/02/4742>)      |                                         |
| Mikkel Abrahamsen et al.: Fast fencing. (2018) (<https://dblp.org/rec/conf/stoc/AbrahamsenABCMR18>)                  | Alan Roytman (<https://dblp.org/pid/02/7164>)           |                                         |
| ...                                                                                | ...                                                     | ...                                     |
| Alkida Balliu et al.: New classe...tributed time complexity. (2018) (<https://dblp.org/rec/conf/stoc/BalliuHKLOS18>) | Alkida Balliu (<https://dblp.org/pid/153/1197>)         | <https://orcid.org/0000-0001-5293-8365> |
| Mark de Berg et al.: A framework...tric intersection graphs. (2018) (<https://dblp.org/rec/conf/stoc/BergBKMZ18>)    | Sándor Kisfaludi-Bak (<https://dblp.org/pid/153/1825>)  | <https://orcid.org/0000-0002-6856-2902> |
| Hamed Omidvar and Massimo France...-dimensional spin system. (2018) (<https://dblp.org/rec/conf/stoc/OmidvarF18>)    | Hamed Omidvar (<https://dblp.org/pid/154/3526>)         |                                         |
| Mark de Berg et al.: A framework...tric intersection graphs. (2018) (<https://dblp.org/rec/conf/stoc/BergBKMZ18>)    | Tom C. van der Zanden (<https://dblp.org/pid/154/6686>) | <https://orcid.org/0000-0003-3080-3210> |
| Sungjin Im et al.: Online load b...cing on related machines. (2018) (<https://dblp.org/rec/conf/stoc/ImKPS18>)       | Nathaniel Kell (<https://dblp.org/pid/154/6820>)        |                                         |

[Tool]
Got 113 rows and 4 columns, showing the first 5 and last 5 rows below:
| paper                                                                                | totalAuthors | orcidAuthors | orcidPercent          |
| --------------------------------------------------------------------------------------------------------------------- | ------------ | ------------ | --------------------- |
| Jeff Erickson et al.: Holiest mi... flows in surface graphs. (2018) (<https://dblp.org/rec/conf/stoc/0001FL18>)       | 3 (xsd:int)  | 1 (xsd:int)  | 33.3333 (xsd:decimal) |
| Fabrizio Grandoni et al.: Improv...tion: saving by rewiring. (2018) (<https://dblp.org/rec/conf/stoc/0001KZ18>)       | 3 (xsd:int)  | 2 (xsd:int)  | 66.6667 (xsd:decimal) |
| Heng Guo et al.: Counting hyperg...n the local lemma regime. (2018) (<https://dblp.org/rec/conf/stoc/0001LLZ18>)      | 4 (xsd:int)  | 3 (xsd:int)  | 75 (xsd:decimal)      |
| Fabrizio Grandoni et al.: A (5/3...g small tasks into boxes. (2018) (<https://dblp.org/rec/conf/stoc/0001MW018>)      | 4 (xsd:int)  | 3 (xsd:int)  | 75 (xsd:decimal)      |
| Zhiyi Huang et al.: How to match...l vertices arrive online. (2018) (<https://dblp.org/rec/conf/stoc/0002KTWZZ18>)    | 6 (xsd:int)  | 4 (xsd:int)  | 66.6667 (xsd:decimal) |
| ...                                                                                | ...          | ...          | ...                   |
| Alexander A. Sherstov: Algorithmic polynomials. (2018) (<https://dblp.org/rec/conf/stoc/Sherstov18>)                  | 1 (xsd:int)  | 1 (xsd:int)  | 100 (xsd:decimal)     |
| Max Simchowitz et al.: Tight que...mple deformed wigner law. (2018) (<https://dblp.org/rec/conf/stoc/SimchowitzAR18>) | 3 (xsd:int)  | 0 (xsd:int)  | 0 (xsd:decimal)       |
| Karthik C. S. et al.: On the par...oximating dominating set. (2018) (<https://dblp.org/rec/conf/stoc/SLM18>)          | 3 (xsd:int)  | 3 (xsd:int)  | 100 (xsd:decimal)     |
| Ola Svensson et al.: A constant-...aveling salesman problem. (2018) (<https://dblp.org/rec/conf/stoc/SvenssonTV18>)   | 3 (xsd:int)  | 2 (xsd:int)  | 66.6667 (xsd:decimal) |
| Roei Tell: Quantified derandomiz...inear threshold circuits. (2018) (<https://dblp.org/rec/conf/stoc/Tell18>)         | 1 (xsd:int)  | 1 (xsd:int)  | 100 (xsd:decimal)     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all STOC 2018 papers, counts the total number of authors, counts the number of authors with ORCIDs, and computes the percentage of authors with ORCIDs per paper. The query uses appropriate grouping and aggregation, and all requested information is included in the result. The query also returns the actual paper IRIs as required. No further refinement is necessary.


SELECT ?predicate ( COUNT( * ) AS ?count ) WHERE {
  ?s ?predicate ?o
}
GROUP BY ?predicate
ORDER BY DESC ( ?count )

Got 96 rows and 2 columns, showing the first 5 and last 5 rows below:
| predicate                    | count               |
| ---------------------------- | ------------------- |
| rdf:type                     | 281569006 (xsd:int) |
| rdfs:label                   | 156622141 (xsd:int) |
| cito:hasCitedEntity          | 144981215 (xsd:int) |
| cito:hasCitingEntity         | 144981215 (xsd:int) |
| cito:hasCitationCreationDate | 141723561 (xsd:int) |
| ...                          | ...                 |
| terms:abstract               | 1 (xsd:int)         |
| owl:versionIRI               | 1 (xsd:int)         |
| owl:versionInfo              | 1 (xsd:int)         |
| terms:description            | 1 (xsd:int)         |
| owl:priorVersion             | 1 (xsd:int)         |

All predicates in the DBLP knowledge graph, ordered by the number of triples in which they appear (size). The top predicates are: rdf:type, rdfs:label, cito:hasCitedEntity, cito:hasCitingEntity, and cito:hasCitationCreationDate. The full list is available in the query result.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] All predicates ordered by size

[Assistant]
To answer this question, I need to find all predicates (properties) in the DBLP knowledge graph and count how many triples use each predicate. Then, I need to order the predicates by their usage count (size).

Step-by-step plan:
1. Identify how to list all predicates in the DBLP knowledge graph.
2. For each predicate, count the number of triples where it is used.
3. Order the predicates by this count in descending order.

I will write a SPARQL query that selects all predicates, counts their usage, and orders them by count.

[Tool]
Got 96 rows and 2 columns, showing the first 5 and last 5 rows below:
| predicate                    | count               |
| ---------------------------- | ------------------- |
| rdf:type                     | 281569006 (xsd:int) |
| rdfs:label                   | 156622141 (xsd:int) |
| cito:hasCitedEntity          | 144981215 (xsd:int) |
| cito:hasCitingEntity         | 144981215 (xsd:int) |
| cito:hasCitationCreationDate | 141723561 (xsd:int) |
| ...                          | ...                 |
| terms:abstract               | 1 (xsd:int)         |
| owl:versionIRI               | 1 (xsd:int)         |
| owl:versionInfo              | 1 (xsd:int)         |
| terms:description            | 1 (xsd:int)         |
| owl:priorVersion             | 1 (xsd:int)         |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all predicates in the DBLP knowledge graph and orders them by the number of triples in which they appear, as requested. The query returns the actual IRIs of the predicates, and the answer accurately summarizes the results. No further refinement is necessary.


PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ?prop ?count ( ?count * 100.0 / ?total AS ?percentage ) WHERE {
  {
    SELECT ?prop ( COUNT( * ) AS ?count ) WHERE {
      ?entity ?prop ?value .
      VALUES ?prop {
        dblp:orcid dblp:doi dblp:signatureOrcid dblp:versionUri
      }
    }
    GROUP BY ?prop
  }
  {
    SELECT ( COUNT( * ) AS ?total ) WHERE {
      ?entity ?p ?v .
      VALUES ?p {
        dblp:orcid dblp:doi dblp:signatureOrcid dblp:versionUri
      }
    }
  }
}
ORDER BY DESC ( ?count )

Here are the dynamically calculated count and percentage frequency of external identifier entities by type in DBLP:

- dblp:doi: 6,582,069 (50.11%)
- dblp:signatureOrcid: 6,363,723 (48.45%)
- dblp:orcid: 185,608 (1.41%)
- dblp:versionUri: 2,864 (0.02%)

The percentages are always up-to-date, as they are calculated based on the current total number of external identifier links.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Count and percentage frequency of the external identifier entities by type

[Assistant]
Let's break down the question:

1. We are asked to count the frequency of external identifier entities by type.
2. We also need to calculate the percentage frequency for each type.

First, I need to identify how "external identifier entities" and their "types" are represented in the DBLP knowledge graph. Typically, external identifiers might be linked via properties such as owl:sameAs, schema:sameAs, or similar, and their types could be given by rdf:type or a similar property.

Step 1: Search for properties related to "external identifier" to see how they are modeled in DBLP.

[Tool]
Top 10 property alternatives:
1. signature orcid (dblp:signatureOrcid): An ORCID that links the publication to a creator., Signature
2. doi (dblp:doi): A Digital Object Identifier., Publication, identifier
3. creator name (dblp:creatorName): The full name of the creator., Creator
4. version label (dblp:versionLabel): The human-readable version label of the specific (instance) publication version., VersionRelation
5. orcid (dblp:orcid): An Open Researcher and Contributor ID., identifier, Creator
6. signature dblp name (dblp:signatureDblpName): A dblp name (including any possible trailing homonym number) that links the publication to a creator., Signature
7. affiliation (dblp:affiliation): A (past or present) affiliation of the creator. (Remark: This pr...ring values until institutions are modelled as proper entities.), creatorNote, Creator
8. primary creator name (dblp:primaryCreatorName): The primary full name of the creator., creatorname, Creator
9. version uri (dblp:versionUri): An (optional) URI of identifying the linked specific (instance) publication version., VersionRelation
10. has signature (dblp:hasSignature): A signature that links this publication to an creator., Publication, Signature

[Assistant]
From the property search, it appears that external identifiers in DBLP are represented by properties such as:
- dblp:orcid (Open Researcher and Contributor ID)
- dblp:doi (Digital Object Identifier)
- dblp:signatureOrcid
- dblp:versionUri

These properties are used to link entities (such as publications or creators) to external identifiers. The "type" of the external identifier would correspond to the property used (e.g., ORCID, DOI, etc.).

Step 2: To count the frequency of each type, I will look for triples where these properties are used and group by the property (type). I will also calculate the percentage frequency for each type.

First, let's check how many total external identifier links exist by summing the counts for these properties.

[Tool]
Got 1 row and 1 column:
| total              |
| ------------------ |
| 13134264 (xsd:int) |

[Assistant]
The total number of external identifier links (across the four main properties) is 13,134,264.

Step 3: Now, I will count the frequency for each property (type) and calculate the percentage frequency for each type relative to the total.

[Tool]
Got 4 rows and 3 columns:
| prop                                 | count             | percentage              |
| ------------------------------------ | ----------------- | ----------------------- |
| doi (dblp:doi)                       | 6582069 (xsd:int) | 50.1137 (xsd:decimal)   |
| signatureOrcid (dblp:signatureOrcid) | 6363723 (xsd:int) | 48.4513 (xsd:decimal)   |
| orcid (dblp:orcid)                   | 185608 (xsd:int)  | 1.41316 (xsd:decimal)   |
| versionUri (dblp:versionUri)         | 2864 (xsd:int)    | 0.0218056 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is mostly correct and provides the requested counts and percentages for each external identifier type. However, the percentage calculation uses a hardcoded total (13,134,264), which may become outdated if the data changes. Instead, the query should dynamically compute the total number of external identifier links by summing the counts for the selected properties. This ensures the percentages are always accurate and up-to-date. Consider using a subquery or a two-step aggregation to first compute the total and then calculate the percentages based on that total.

[Assistant]
Thank you for the feedback. You are correct: the percentage calculation should be dynamic and not rely on a hardcoded total. To achieve this, I will use a subquery to first compute the total count of all external identifier links, and then use that value to calculate the percentage for each type.

Here's my plan:
1. Use a subquery to count the total number of triples with any of the external identifier properties.
2. In the main query, group by property, count the occurrences, and divide by the total from the subquery to get the percentage.

Let me construct and execute this improved query.

[Tool]
Got 4 rows and 3 columns:
| prop                                 | count             | percentage              |
| ------------------------------------ | ----------------- | ----------------------- |
| doi (dblp:doi)                       | 6582069 (xsd:int) | 50.1137 (xsd:decimal)   |
| signatureOrcid (dblp:signatureOrcid) | 6363723 (xsd:int) | 48.4513 (xsd:decimal)   |
| orcid (dblp:orcid)                   | 185608 (xsd:int)  | 1.41316 (xsd:decimal)   |
| versionUri (dblp:versionUri)         | 2864 (xsd:int)    | 0.0218056 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the occurrences of each external identifier property (doi, signatureOrcid, orcid, versionUri) and calculates their percentage frequency relative to the total number of such identifiers. The query returns the IRIs of the properties as required, and the computation is performed entirely within SPARQL. The answer is accurate, complete, and follows all specified rules.


PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ?stream ( COUNT( ?paper ) AS ?paperCount ) ( SAMPLE( ?title ) AS ?streamTitle ) WHERE {
  ?paper dblp:publishedInStream ?stream .
  OPTIONAL {
    ?stream dblp:primaryStreamTitle ?title
  }
}
GROUP BY ?stream
ORDER BY DESC ( ?paperCount )
LIMIT 100

Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| stream                                                                                | paperCount       | streamTitle                                                         |
| ---------------------------------------------------------------------------------------------------------- | ---------------- | ------------------------------------------------------------------- |
| Computing Research Repository (CoRR) (<https://dblp.org/streams/journals/corr>)                            | 735319 (xsd:int) | Computing Research Repository (CoRR)                                |
| Lecture Notes in Computer Science (LNCS) (<https://dblp.org/streams/series/lncs>)                          | 557627 (xsd:int) | Lecture Notes in Computer Science (LNCS)                            |
| IEEE Access (<https://dblp.org/streams/journals/access>)                                                   | 93851 (xsd:int)  | IEEE Access                                                         |
| Sensors (<https://dblp.org/streams/journals/sensors>)                                                      | 64311 (xsd:int)  | Sensors                                                             |
| CEUR Workshop Proceedings (<https://dblp.org/streams/series/ceurws>)                                       | 63513 (xsd:int)  | CEUR Workshop Proceedings                                           |
| ...                                                                                | ...              | ...                                                                 |
| IEEE International Parallel and ...ted Processing Symposium (IPDPS) (<https://dblp.org/streams/conf/ipps>) | 10375 (xsd:int)  | IEEE International Parallel and ...ted Processing Symposium (IPDPS) |
| ACM International Conference on Multimedia (MM) (<https://dblp.org/streams/conf/mm>)                       | 10370 (xsd:int)  | ACM International Conference on Multimedia (MM)                     |
| IEEE Transactions on Image Processing (<https://dblp.org/streams/journals/tip>)                            | 10310 (xsd:int)  | IEEE Transactions on Image Processing                               |
| ACM International Conference Proceeding Series (ICPS) (<https://dblp.org/streams/series/aicps>)            | 10289 (xsd:int)  | ACM International Conference Proceeding Series (ICPS)               |
| The Web Conference (WWW) (<https://dblp.org/streams/conf/www>)                                             | 10239 (xsd:int)  | The Web Conference (WWW)                                            |

The number of papers by stream (such as conference series or journals) can be retrieved by counting papers grouped by their stream using the property dblp:publishedInStream. For example, the top streams are: Computing Research Repository (CoRR) with 735,319 papers, Lecture Notes in Computer Science (LNCS) with 557,627 papers, IEEE Access with 93,851 papers, Sensors with 64,311 papers, and CEUR Workshop Proceedings with 63,513 papers. The full SPARQL query returns the top 100 streams by paper count, including their IRIs and titles.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Number of papers by stream

[Assistant]
Let's break down the question:

1. "Number of papers by stream" likely asks for a count of papers grouped by their "stream". In academic contexts, "stream" could mean research area, topic, or conference/journal venue.
2. In the DBLP knowledge graph, papers are typically associated with venues (conferences, journals), which could be interpreted as "streams".

First, I will search for properties in DBLP related to "stream" to see if there is a direct mapping. If not, I will look for properties like "venue", "area", or "topic".

[Tool]
Top 10 property alternatives:
1. published in stream (dblp:publishedInStream): The conference series, the journal, or the repository in which the publication has been published., Publication, Stream
2. stream title (dblp:streamTitle): A title of the stream., Stream
3. sub stream (dblp:subStream): This stream is (or was) a part of the other stream., relatedStream, Stream
4. related stream (dblp:relatedStream): This stream is related to the other stream in some unspecified way., Stream
5. super stream (dblp:superStream): This stream has (or had) the other stream as a part., relatedStream, Stream
6. former stream title (dblp:formerStreamTitle): A former title of the stream., streamTitle, Stream
7. primary stream title (dblp:primaryStreamTitle): The primary title of the stream., streamTitle, Stream
8. successor stream (dblp:successorStream): This stream is a successor of the other stream., relatedStream, Stream
9. webpage (dblp:webpage): The URL of a web page about this item., Entity
10. published in (dblp:publishedIn): The name of the series, the journal, or the book in which the pu...journals and conference series are modelled as proper entities.), Publication

[Assistant]
The property dblp:publishedInStream ("published in stream") is the most relevant for mapping papers to their streams (conference series, journals, or repositories). To answer the question, I need to count the number of papers grouped by their stream.

Next, I will check how papers are linked to streams using dblp:publishedInStream and how to get the stream's identifier and optionally its title (using dblp:streamTitle or rdfs:label).

I will list some triples where dblp:publishedInStream is used to confirm its usage.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                   | object                                                                                |
| ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------ | ---------------------------------------------------------------------------------------------------- |
| Martijn Oldenhof et al.: Industr...rning for Drug Discovery. (2023) (<https://dblp.org/rec/conf/aaai/OldenhofAPSHSDF23>)                                     | publishedInStream (dblp:publishedInStream) | AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>)             |
| Brian Plancher et al.: TinyML4D:... in the Developing World. (2024) (<https://dblp.org/rec/conf/aaaiss/PlancherBEGKSL024>)                                   | publishedInStream (dblp:publishedInStream) | AAAI Spring Symposia (<https://dblp.org/streams/conf/aaaiss>)                                        |
| Wenhui Li et al.: Monocular Image Based 3D Model Retrieval. (2019) (<https://dblp.org/rec/conf/3dor/LiLNSLWXZBCCCDD19>)                                      | publishedInStream (dblp:publishedInStream) | Eurographics Workshop on 3D Object Retrieval (3DOR) (<https://dblp.org/streams/conf/3dor>)           |
| Sastri Kota et al.: INGR Satellite Roadmap - 2022 Edition. (2022) (<https://dblp.org/rec/conf/5gwf/KotaGAA0BCDDCDD22>)                                       | publishedInStream (dblp:publishedInStream) | 5G World Forum (5GWF) (<https://dblp.org/streams/conf/5gwf>)                                         |
| Artur Binczewski et al.: Polish ... Worldwide LHC Computing. (2012) (<https://dblp.org/rec/books/sp/plgrid2012/BinczewskiBCDFFGIKLLLMMMNOOPPPRRSSSSTWWWW12>) | publishedInStream (dblp:publishedInStream) | Lecture Notes in Computer Science (LNCS) (<https://dblp.org/streams/series/lncs>)                    |
| G. Druais et al.: 3D integration...with design partitioning. (2011) (<https://dblp.org/rec/conf/3dic/DruaisAACCCCCCCCDDFGHHLLMOPPRRSS11>)                    | publishedInStream (dblp:publishedInStream) | IEEE International Conference on 3D System Integration (3DIC) (<https://dblp.org/streams/conf/3dic>) |
| Koustuv Saha et al.: Imputing Mi...tudies of Human Behavior. (2019) (<https://dblp.org/rec/conf/acii/SahaMNRSYACCDDR19>)                                     | publishedInStream (dblp:publishedInStream) | Affective Computing and Intelligent Interaction (ACII) (<https://dblp.org/streams/conf/acii>)        |
| Ruben Tolosana et al.: Future Tr...nipulation and Detection. (2022) (<https://dblp.org/rec/books/sp/22/TolosanaRV0VLNYERGSDARFMOKJKT22>)                     | publishedInStream (dblp:publishedInStream) | Advances in Computer Vision and Pattern Recognition (<https://dblp.org/streams/series/acvpr>)        |
| Ingo Friese et al.: True 3D Holo...ecture on the Path to 6G. (2023) (<https://dblp.org/rec/conf/6gnet/FrieseGBZNMZSPB23>)                                    | publishedInStream (dblp:publishedInStream) | International Conference on 6G Networking (6GNet) (<https://dblp.org/streams/conf/6gnet>)            |
| Andrew Luxton-Reilly et al.: Aut...iences From the Trenches. (2023) (<https://dblp.org/rec/conf/ace/Luxton-ReillyTA23>)                                      | publishedInStream (dblp:publishedInStream) | Australasian Computing Education Conference (ACE) (<https://dblp.org/streams/conf/ace>)              |
| ...                                                                                | ...                                        | ...                                                                                |

[Assistant]
The property dblp:publishedInStream connects a paper (subject) to a stream (object), such as a conference series or journal. The stream entity has an IRI like https://dblp.org/streams/conf/aaai.

To answer the question, I need to:
- Count the number of papers for each stream (object of dblp:publishedInStream).
- Optionally, retrieve the stream's title (using dblp:streamTitle or rdfs:label).

Next, I will check how to get the stream's title by listing properties for a stream entity.

[Tool]
Got 17 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                     | object                                                                                |
| ---------------------------------------------------------------------------------------- | -------------------------------------------- | ----------------------------------------------------------------------------------------------------- |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | wikidata (dblp:wikidata)                     | wd:Q56682083                                                                                |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | webpage (dblp:webpage)                       | <https://aaai.org/Conferences/AAAI/aaai.php>                                                          |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | wikipedia (dblp:wikipedia)                   | <https://en.wikipedia.org/wiki/AAAI_Conference_on_Artificial_Intelligence>                            |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | streamTitle (dblp:streamTitle)               | AAAI Conference on Artificial Intelligence (AAAI)                                                     |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | indexPage (dblp:indexPage)                   | <https://dblp.org/db/conf/aaai/index>                                                                 |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | primaryStreamTitle (dblp:primaryStreamTitle) | AAAI Conference on Artificial Intelligence (AAAI)                                                     |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | relatedStream (dblp:relatedStream)           | International Workshop on Statistical Relational AI (StarAI) (<https://dblp.org/streams/conf/starai>) |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | subStream (dblp:subStream)                   | International Workshop on Statistical Relational AI (StarAI) (<https://dblp.org/streams/conf/starai>) |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | formerStreamTitle (dblp:formerStreamTitle)   | National Conference on Artificial Intelligence                                                        |
| AAAI Conference on Artificial Intelligence (AAAI) (<https://dblp.org/streams/conf/aaai>) | rdf:type                                     | Conference (dblp:Conference)                                                                          |
| ...                                                                                | ...                                          | ...                                                                                |

[Assistant]
The stream entity has properties dblp:streamTitle and dblp:primaryStreamTitle for its title. For clarity, I will use dblp:primaryStreamTitle to get the main title of each stream.

Now, I will construct a SPARQL query that:
- Counts the number of papers for each stream (object of dblp:publishedInStream).
- Returns the stream's IRI and its primary title (if available).

I will use an OPTIONAL clause for the title, in case some streams lack it.

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| stream                                                                                | paperCount       | streamTitle                                                         |
| ---------------------------------------------------------------------------------------------------------- | ---------------- | ------------------------------------------------------------------- |
| Computing Research Repository (CoRR) (<https://dblp.org/streams/journals/corr>)                            | 735319 (xsd:int) | Computing Research Repository (CoRR)                                |
| Lecture Notes in Computer Science (LNCS) (<https://dblp.org/streams/series/lncs>)                          | 557627 (xsd:int) | Lecture Notes in Computer Science (LNCS)                            |
| IEEE Access (<https://dblp.org/streams/journals/access>)                                                   | 93851 (xsd:int)  | IEEE Access                                                         |
| Sensors (<https://dblp.org/streams/journals/sensors>)                                                      | 64311 (xsd:int)  | Sensors                                                             |
| CEUR Workshop Proceedings (<https://dblp.org/streams/series/ceurws>)                                       | 63513 (xsd:int)  | CEUR Workshop Proceedings                                           |
| ...                                                                                | ...              | ...                                                                 |
| IEEE International Parallel and ...ted Processing Symposium (IPDPS) (<https://dblp.org/streams/conf/ipps>) | 10375 (xsd:int)  | IEEE International Parallel and ...ted Processing Symposium (IPDPS) |
| ACM International Conference on Multimedia (MM) (<https://dblp.org/streams/conf/mm>)                       | 10370 (xsd:int)  | ACM International Conference on Multimedia (MM)                     |
| IEEE Transactions on Image Processing (<https://dblp.org/streams/journals/tip>)                            | 10310 (xsd:int)  | IEEE Transactions on Image Processing                               |
| ACM International Conference Proceeding Series (ICPS) (<https://dblp.org/streams/series/aicps>)            | 10289 (xsd:int)  | ACM International Conference Proceeding Series (ICPS)               |
| The Web Conference (WWW) (<https://dblp.org/streams/conf/www>)                                             | 10239 (xsd:int)  | The Web Conference (WWW)                                            |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and follows all the required rules. It returns the IRIs of the streams, counts the number of papers per stream, and optionally includes the stream title. The answer is accurate, and the query is efficient and complete for the user's question. No further refinement is needed.