PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ?paper ?title ?year WHERE {
  ?paper dblp:publishedIn "SIGIR" .
  OPTIONAL {
    ?paper dblp:title ?title
  }
  OPTIONAL {
    ?paper dblp:yearOfPublication ?year
  }
}

Got 6,653 rows and 3 columns, showing the first 5 and last 5 rows below:
| paper                                                                                | title                                                               | year             |
| ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------- | ---------------- |
| Jimmy et al.: On the Volatility ...ation Retrieval Research. (2018) (<https://dblp.org/rec/conf/sigir/-JimmyZD18>)       | On the Volatility of Commercial ... Information Retrieval Research. | 2018 (xsd:gYear) |
| Xinghua Zhang et al.: Representa...Named Entity Recognition. (2023) (<https://dblp.org/rec/conf/sigir/00010CLWLX23>)     | Representation and Labeling Gap ...ingual Named Entity Recognition. | 2023 (xsd:gYear) |
| Yuanxing Liu et al.: U-NEED: A F...rsational Recommendation. (2023) (<https://dblp.org/rec/conf/sigir/00010DFWFCZCLC23>) | U-NEED: A Fine-grained Dataset f...e Conversational Recommendation. | 2023 (xsd:gYear) |
| Junyu Luo et al.: Clinical Trial...ined Similarity Learning. (2024) (<https://dblp.org/rec/conf/sigir/00010GM24>)        | Clinical Trial Retrieval via Multi-grained Similarity Learning.     | 2024 (xsd:gYear) |
| Qingpeng Cai et al.: AgentIR: 1s...ed Information Retrieval. (2024) (<https://dblp.org/rec/conf/sigir/00010P0H00YY24>)   | AgentIR: 1st Workshop on Agent-based Information Retrieval.         | 2024 (xsd:gYear) |
| ...                                                                                | ...                                                                 | ...              |
| Guido Zuccon et al.: The interac...ifying document rankings. (2011) (<https://dblp.org/rec/conf/sigir/ZucconAR11>)       | The interactive PRP for diversifying document rankings.             | 2011 (xsd:gYear) |
| Guido Zuccon and Bevan Koopman: ... Consumers to Clinicians. (2017) (<https://dblp.org/rec/conf/sigir/ZucconK17>)        | SIGIR 2017 Tutorial on Health Se...ay from Consumers to Clinicians. | 2017 (xsd:gYear) |
| Guido Zuccon and Bevan Koopman: ... Consumers to Clinicians. (2018) (<https://dblp.org/rec/conf/sigir/ZucconK18>)        | SIGIR 2018 Tutorial on Health Se...ay from Consumers to Clinicians. | 2018 (xsd:gYear) |
| Stefan Zwicklbauer et al.: Robus...ough Semantic Embeddings. (2016) (<https://dblp.org/rec/conf/sigir/ZwicklbauerSG16>)  | Robust and Collective Entity Dis...ion through Semantic Embeddings. | 2016 (xsd:gYear) |
| Roelof van Zwol et al.: Machine ...ranking of entity facets. (2010) (<https://dblp.org/rec/conf/sigir/ZwolPMS10>)        | Machine learned ranking of entity facets.                           | 2010 (xsd:gYear) |

This query retrieves all papers published in SIGIR (using the correct string literal for the conference in dblp:publishedIn), including their titles and publication years. This matches the actual data structure in the DBLP knowledge graph.

[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 papers published in SIGIR with title and publication year

[Assistant]
Let's break down the question:

1. We need to find all papers published in SIGIR.
2. For each paper, we want the title and publication year.

Step 1: Identify the entity for SIGIR in the DBLP knowledge graph.
Step 2: Find the property that links papers to their publication venue (SIGIR).
Step 3: Find the properties for title and publication year.
Step 4: Construct the SPARQL query.

Let's start by searching for the SIGIR entity in DBLP.

[Tool]
Top 10 entity alternatives:
1. SIGIR Forum (<https://dblp.org/streams/journals/sigir>)
2. SIGIR News. (1980) (<https://dblp.org/rec/journals/sigir/X80d>)
3. SIGIR News. (1975) (<https://dblp.org/rec/journals/sigir/X75e>)
4. SIGIR News. (1975) (<https://dblp.org/rec/journals/sigir/X75l>)
5. SIGIR News. (1976) (<https://dblp.org/rec/journals/sigir/X76g>)
6. SIGIR News. (1980) (<https://dblp.org/rec/journals/sigir/X80i>)
7. SIGIR Bylaws. (1976) (<https://dblp.org/rec/journals/sigir/X76e>)
8. Deniz Sigirli, also known as Deniz Sigirli (<https://dblp.org/pid/328/2256>)
9. Silpa Sigireddy, also known as Silpa Sigireddy (<https://dblp.org/pid/69/5396>)
10. Announcement: SIGIR 1986. (1986) (<https://dblp.org/rec/journals/sigir/X86e>)

[Tool]
Top 10 entity alternatives:
1. Announcement: SIGIR Conference 1978. (1978) (<https://dblp.org/rec/journals/sigir/X78a>)
2. CfP: SIGIR Conference 1978. (1977) (<https://dblp.org/rec/journals/sigir/X77e>)
3. CfP: SIGIR Conference 1979. (1979) (<https://dblp.org/rec/journals/sigir/X79g>)
4. Announcement - SIGIR Conference 1978. (1977) (<https://dblp.org/rec/journals/sigir/X77o>)
5. SIGIR Conference 1981 - Announcement. (1981) (<https://dblp.org/rec/journals/sigir/X81a>)
6. Conference (dblp:Conference): A conference or workshop series.
7. SIGIR Forum (<https://dblp.org/streams/journals/sigir>)
8. Tcl/Tk Conference (<https://dblp.org/streams/conf/tcltk>)
9. ASL Conference (<https://dblp.org/streams/conf/asl>)
10. ALGO Conference (ALGO) (<https://dblp.org/streams/conf/algo>)

[Tool]
Top 10 entity alternatives:
1. Proceedings (<https://dblp.org/streams/series/proceedings>)
2. Proceedings. (2010) (<https://dblp.org/rec/conf/hicss/X10f>)
3. SIGIR Forum (<https://dblp.org/streams/journals/sigir>)
4. Proceedings. (1995) (<https://dblp.org/rec/journals/software/X95l>)
5. Proceedings. (1995) (<https://dblp.org/rec/journals/software/X95g>)
6. Proceedings. (1995) (<https://dblp.org/rec/journals/software/X95b>)
7. Proceedings. (1994) (<https://dblp.org/rec/journals/software/X94o>)
8. Proceedings. (1994) (<https://dblp.org/rec/journals/software/X94l>)
9. Proceedings. (1994) (<https://dblp.org/rec/journals/software/X94e>)
10. Proceedings. (1994) (<https://dblp.org/rec/journals/software/X94b>)

[Tool]
Top 10 entity alternatives:
1. Announcement: SIGIR Conference 1978. (1978) (<https://dblp.org/rec/journals/sigir/X78a>)
2. CfP: SIGIR Conference 1978. (1977) (<https://dblp.org/rec/journals/sigir/X77e>)
3. CfP: SIGIR Conference 1979. (1979) (<https://dblp.org/rec/journals/sigir/X79g>)
4. About the TOOLS Conference Series. (2001) (<https://dblp.org/rec/conf/tools/X01a>)
5. Announcement - SIGIR Conference 1978. (1977) (<https://dblp.org/rec/journals/sigir/X77o>)
6. SIGIR Conference 1981 - Announcement. (1981) (<https://dblp.org/rec/journals/sigir/X81a>)
7. ACM International Conference Proceeding Series (ICPS) (<https://dblp.org/streams/series/aicps>)
8. Conference (dblp:Conference): A conference or workshop series.
9. Series (dblp:Series): A published series of volumes.
10. SIGIR Forum (<https://dblp.org/streams/journals/sigir>)

[Tool]
Top 10 entity alternatives:
1. Announcement: SIGIR Conference 1978. (1978) (<https://dblp.org/rec/journals/sigir/X78a>)
2. CfP: SIGIR Conference 1978. (1977) (<https://dblp.org/rec/journals/sigir/X77e>)
3. CfP: SIGIR Conference 1979. (1979) (<https://dblp.org/rec/journals/sigir/X79g>)
4. Announcement - SIGIR Conference 1978. (1977) (<https://dblp.org/rec/journals/sigir/X77o>)
5. SIGIR Conference 1981 - Announcement. (1981) (<https://dblp.org/rec/journals/sigir/X81a>)
6. SIGIR Forum (<https://dblp.org/streams/journals/sigir>)
7. Conference (dblp:Conference): A conference or workshop series.
8. Conferences/Meetings. (1982) (<https://dblp.org/rec/journals/mmor/X82m>)
9. Roberto Confalonieri 0001, also known as Roberto Confalonieri (<https://dblp.org/pid/08/6731-1>)
10. Conferences. (2024) (<https://dblp.org/rec/journals/igpl/X24>)

[Tool]
Top 10 entity alternatives:
1. SIGIR Forum (<https://dblp.org/streams/journals/sigir>)
2. SIGIR News. (1980) (<https://dblp.org/rec/journals/sigir/X80d>)
3. SIGIR News. (1975) (<https://dblp.org/rec/journals/sigir/X75e>)
4. SIGIR News. (1975) (<https://dblp.org/rec/journals/sigir/X75l>)
5. SIGIR News. (1976) (<https://dblp.org/rec/journals/sigir/X76g>)
6. SIGIR News. (1980) (<https://dblp.org/rec/journals/sigir/X80i>)
7. SIGIR Bylaws. (1976) (<https://dblp.org/rec/journals/sigir/X76e>)
8. Deniz Sigirli, also known as Deniz Sigirli (<https://dblp.org/pid/328/2256>)
9. Silpa Sigireddy, also known as Silpa Sigireddy (<https://dblp.org/pid/69/5396>)
10. Announcement: SIGIR 1986. (1986) (<https://dblp.org/rec/journals/sigir/X86e>)

[Tool]
Top 10 entity alternatives:
1. Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>)
2. Chirag Shah et al.: Report on th...n retrieval (SIGIR 2021). (2021) (<https://dblp.org/rec/journals/sigir/ShahSDMPSV21>)
3. ACM SIGIR Conference on Research...e Asia Pacific Region (SIGIR-AP) (<https://dblp.org/streams/conf/sigir-ap>)
4. Yves Chiaramella: SIGIR'88, Proc... France, June 13-15, 1988 (1988) (<https://dblp.org/rec/conf/sigir/88>)
5. Fernando Diaz et al.: SIGIR '21:... Canada, July 11-15, 2021 (2021) (<https://dblp.org/rec/conf/sigir/2021>)
6. Ricardo Baeza-Yates et al.: Proc... Chile, August 9-13, 2015 (2015) (<https://dblp.org/rec/conf/sigir/2015>)
7. Jean Tague: Proceedings of the 8...c, Canada, June 5-7, 1985 (1985) (<https://dblp.org/rec/conf/sigir/85>)
8. Hsin-Hsi Chen et al.: Proceeding... Taiwan, July 23-27, 2023 (2023) (<https://dblp.org/rec/conf/sigir/2023>)
9. Enrique Amigó et al.: SIGIR '22:...Spain, July 11 - 15, 2022 (2022) (<https://dblp.org/rec/conf/sigir/2022>)
10. Noriko Kando et al.: Proceedings... Japan, August 7-11, 2017 (2017) (<https://dblp.org/rec/conf/sigir/2017>)

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                     | object                                                              |
| ----------------------------------------------------------------------------------------------------------- | -------------------------------------------- | ------------------------------------------------------------------- |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | wikidata (dblp:wikidata)                     | wd:Q105694973                                                       |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | webpage (dblp:webpage)                       | <https://dl.acm.org/conference/ir>                                  |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | streamTitle (dblp:streamTitle)               | Annual International ACM SIGIR C...in Information Retrieval (SIGIR) |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | indexPage (dblp:indexPage)                   | <https://dblp.org/db/conf/sigir/index>                              |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | primaryStreamTitle (dblp:primaryStreamTitle) | Annual International ACM SIGIR C...in Information Retrieval (SIGIR) |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | relatedStream (dblp:relatedStream)           | SIGIR Forum (<https://dblp.org/streams/journals/sigir>)             |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | subStream (dblp:subStream)                   | Workshop on eCommerce (eCom) (<https://dblp.org/streams/conf/ecom>) |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | formerStreamTitle (dblp:formerStreamTitle)   | International Conference on Information Storage and Retrieval       |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | rdf:type                                     | Conference (dblp:Conference)                                        |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | datacite:hasIdentifier                       | _:bn40469812                                                        |
| ...                                                                                | ...                                          | ...                                                                 |

[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

[Tool]
Top 10 property alternatives:
1. title (dblp:title): The title of the publication., Publication
2. stream title (dblp:streamTitle): A title of the stream., Stream
3. published by (dblp:publishedBy): The publisher of the publication. (Remark: This property current...string values until publishers are modelled as proper entities.), Publication
4. primary stream title (dblp:primaryStreamTitle): The primary title of the stream., streamTitle, Stream
5. isbn (dblp:isbn): An International Standard Book Number., Publication, identifier
6. 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
7. former stream title (dblp:formerStreamTitle): A former title of the stream., streamTitle, Stream
8. year of publication (dblp:yearOfPublication): The year the publication's issue or volume has been published., Publication
9. index page (dblp:indexPage): The URL of the dblp stream index page for this stream., Stream
10. document page (dblp:documentPage): The URL of the electronic edition of the publication., Publication, webpage

[Tool]
Top 10 property alternatives:
1. year of event (dblp:yearOfEvent): The year the conference or workshop contribution has been presented., Publication
2. year of publication (dblp:yearOfPublication): The year the publication's issue or volume has been published., Publication
3. 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
4. month of publication (dblp:monthOfPublication): The month the publication has been published., Publication
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. issn (dblp:issn): An International Standard Serial Number., identifier, Stream
7. title (dblp:title): The title of the publication., 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. authored by (dblp:authoredBy): The publication is authored by the creator., Publication, createdBy, Creator
10. published as part of (dblp:publishedAsPartOf): The publication has been published as a part of the other publication., Publication

[Tool] Got no rows and 3 columns

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                       | object                                           |
| ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------ | ------------------------------------------------ |
| Mark von Rosing et al.: Business Process Trends. (2015) (<https://dblp.org/rec/books/el/15/RosingSetal15>)                                                   | publishedIn (dblp:publishedIn) | The Complete Business Process Handbook, Vol. I   |
| Martijn Oldenhof et al.: Industr...rning for Drug Discovery. (2023) (<https://dblp.org/rec/conf/aaai/OldenhofAPSHSDF23>)                                     | publishedIn (dblp:publishedIn) | AAAI                                             |
| Brian Plancher et al.: TinyML4D:... in the Developing World. (2024) (<https://dblp.org/rec/conf/aaaiss/PlancherBEGKSL024>)                                   | publishedIn (dblp:publishedIn) | AAAI Spring Symposia                             |
| Wenhui Li et al.: Monocular Image Based 3D Model Retrieval. (2019) (<https://dblp.org/rec/conf/3dor/LiLNSLWXZBCCCDD19>)                                      | publishedIn (dblp:publishedIn) | 3DOR@Eurographics                                |
| Sastri Kota et al.: INGR Satellite Roadmap - 2022 Edition. (2022) (<https://dblp.org/rec/conf/5gwf/KotaGAA0BCDDCDD22>)                                       | publishedIn (dblp:publishedIn) | FNWF                                             |
| Ziawasch Abedjan et al.: Data Sc...lenges and Opportunities. (2019) (<https://dblp.org/rec/books/sp/19/AbedjanBCCCCSCDGHHKKLSMMMAAPRGKRRRSSSTVVW19>)         | publishedIn (dblp:publishedIn) | Data Science for Healthcare                      |
| Artur Binczewski et al.: Polish ... Worldwide LHC Computing. (2012) (<https://dblp.org/rec/books/sp/plgrid2012/BinczewskiBCDFFGIKLLLMMMNOOPPPRRSSSSTWWWW12>) | publishedIn (dblp:publishedIn) | PL-Grid                                          |
| Albert Ali Salah et al.: Policy ...ons of the D4R Challenge. (2019) (<https://dblp.org/rec/books/sp/19/SalahABFMAABBBBBCIKKKKKKM0PRSSSSSTTU19>)              | publishedIn (dblp:publishedIn) | Data for Refugees Challenge                      |
| Andreas Alexopoulos et al.: Big ...Ricerche FIAT (CRF) Case. (2022) (<https://dblp.org/rec/books/sp/22/AlexopoulosBBBCCDEFGIJKKKKLMMMMRRSSSSSSVV22>)         | publishedIn (dblp:publishedIn) | Technologies and Applications for Big Data Value |
| Christoph Mertens et al.: A Fram...strial Data Space (EIDS). (2022) (<https://dblp.org/rec/books/sp/22/MertensALPBNRITTTMFCGGLCSNMVS0RHLZ0SP22>)             | publishedIn (dblp:publishedIn) | Data Spaces                                      |
| ...                                                                                | ...                            | ...                                              |

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                     | object                                                              |
| ----------------------------------------------------------------------------------------------------------- | -------------------------------------------- | ------------------------------------------------------------------- |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | wikidata (dblp:wikidata)                     | wd:Q105694973                                                       |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | webpage (dblp:webpage)                       | <https://dl.acm.org/conference/ir>                                  |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | streamTitle (dblp:streamTitle)               | Annual International ACM SIGIR C...in Information Retrieval (SIGIR) |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | indexPage (dblp:indexPage)                   | <https://dblp.org/db/conf/sigir/index>                              |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | primaryStreamTitle (dblp:primaryStreamTitle) | Annual International ACM SIGIR C...in Information Retrieval (SIGIR) |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | relatedStream (dblp:relatedStream)           | SIGIR Forum (<https://dblp.org/streams/journals/sigir>)             |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | subStream (dblp:subStream)                   | Workshop on eCommerce (eCom) (<https://dblp.org/streams/conf/ecom>) |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | formerStreamTitle (dblp:formerStreamTitle)   | International Conference on Information Storage and Retrieval       |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | rdf:type                                     | Conference (dblp:Conference)                                        |
| Annual International ACM SIGIR C...in Information Retrieval (SIGIR) (<https://dblp.org/streams/conf/sigir>) | datacite:hasIdentifier                       | _:bn40469812                                                        |
| ...                                                                                | ...                                          | ...                                                                 |

[Tool]
Got 6,653 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                       | object |
| ------------------------------------------------------------------------------------------------------------------------------ | ------------------------------ | ------ |
| Mofetoluwa Adeyemi et al.: CIRAL...ons in African Languages. (2024) (<https://dblp.org/rec/conf/sigir/AdeyemiO0ARCOAE24>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Zhaoxin Huan et al.: Exploring M...th a Large Scale Dataset. (2024) (<https://dblp.org/rec/conf/sigir/HuanDLZM0ZZMGLZ24>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Alessandro Bozzon et al.: Pharos...iovisual search platform. (2009) (<https://dblp.org/rec/conf/sigir/BozzonBFNDMNPAPLZBWC09>) | publishedIn (dblp:publishedIn) | SIGIR  |
| Lanling Xu et al.: Towards a Mor... for Recommender Systems. (2023) (<https://dblp.org/rec/conf/sigir/XuTZZWZLTZHPZCW23>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Rosie Jones et al.: Current Chal...dcast Information Access. (2021) (<https://dblp.org/rec/conf/sigir/JonesZSCRCKHPNY21>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Tsuyoshi Kitani et al.: Lessons ... for Japanese IR Systems. (1998) (<https://dblp.org/rec/conf/sigir/KitaniOIKKTFMUSTTNA98>)  | publishedIn (dblp:publishedIn) | SIGIR  |
| Feng-Lin Li et al.: AliMe Avatar...ive-streaming E-commerce. (2021) (<https://dblp.org/rec/conf/sigir/LiZ0LCCPZSLXHZC21>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Wen Zhang et al.: NeuralKG: An O...ning of Knowledge Graphs. (2022) (<https://dblp.org/rec/conf/sigir/ZhangCYCZYHXZXY22>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Haolan Zhan et al.: SocialDial: ...y-Aware Dialogue Systems. (2023) (<https://dblp.org/rec/conf/sigir/ZhanLWLFKHQSSZS23>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| James Mayfield et al.: On the Ev...achine-Generated Reports. (2024) (<https://dblp.org/rec/conf/sigir/MayfieldYLMMOSS24>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| ...                                                                                | ...                            | ...    |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property           | object                                                              |
| ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------ | ------------------------------------------------------------------- |
| Mark von Rosing et al.: Business Process Trends. (2015) (<https://dblp.org/rec/books/el/15/RosingSetal15>)                                                   | title (dblp:title) | Business Process Trends.                                            |
| Martijn Oldenhof et al.: Industr...rning for Drug Discovery. (2023) (<https://dblp.org/rec/conf/aaai/OldenhofAPSHSDF23>)                                     | title (dblp:title) | Industry-Scale Orchestrated Federated Learning for Drug Discovery.  |
| Wenhui Li et al.: Monocular Image Based 3D Model Retrieval. (2019) (<https://dblp.org/rec/conf/3dor/LiLNSLWXZBCCCDD19>)                                      | title (dblp:title) | Monocular Image Based 3D Model Retrieval.                           |
| Sastri Kota et al.: INGR Satellite Roadmap - 2022 Edition. (2022) (<https://dblp.org/rec/conf/5gwf/KotaGAA0BCDDCDD22>)                                       | title (dblp:title) | INGR Satellite Roadmap - 2022 Edition.                              |
| Ziawasch Abedjan et al.: Data Sc...lenges and Opportunities. (2019) (<https://dblp.org/rec/books/sp/19/AbedjanBCCCCSCDGHHKKLSMMMAAPRGKRRRSSSTVVW19>)         | title (dblp:title) | Data Science in Healthcare: Benefits, Challenges and Opportunities. |
| Artur Binczewski et al.: Polish ... Worldwide LHC Computing. (2012) (<https://dblp.org/rec/books/sp/plgrid2012/BinczewskiBCDFFGIKLLLMMMNOOPPPRRSSSSTWWWW12>) | title (dblp:title) | Polish Contribution to the Worldwide LHC Computing.                 |
| Albert Ali Salah et al.: Policy ...ons of the D4R Challenge. (2019) (<https://dblp.org/rec/books/sp/19/SalahABFMAABBBBBCIKKKKKKM0PRSSSSSTTU19>)              | title (dblp:title) | Policy Implications of the D4R Challenge.                           |
| Emanuele Rodolà et al.: Deformab...ieval with Missing Parts. (2017) (<https://dblp.org/rec/conf/3dor/RodolaCLBBAHBCD17>)                                     | title (dblp:title) | Deformable Shape Retrieval with Missing Parts.                      |
| Andreas Alexopoulos et al.: Big ...Ricerche FIAT (CRF) Case. (2022) (<https://dblp.org/rec/books/sp/22/AlexopoulosBBBCCDEFGIJKKKKLMMMMRRSSSSSSVV22>)         | title (dblp:title) | Big Data Analytics in the Manufa...Centro Ricerche FIAT (CRF) Case. |
| Christoph Mertens et al.: A Fram...strial Data Space (EIDS). (2022) (<https://dblp.org/rec/books/sp/22/MertensALPBNRITTTMFCGGLCSNMVS0RHLZ0SP22>)             | title (dblp:title) | A Framework for Big Data Soverei...an Industrial Data Space (EIDS). |
| ...                                                                                | ...                | ...                                                                 |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                   | object           |
| ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------ | ---------------- |
| Mark von Rosing et al.: Business Process Trends. (2015) (<https://dblp.org/rec/books/el/15/RosingSetal15>)                                                   | yearOfPublication (dblp:yearOfPublication) | 2015 (xsd:gYear) |
| Martijn Oldenhof et al.: Industr...rning for Drug Discovery. (2023) (<https://dblp.org/rec/conf/aaai/OldenhofAPSHSDF23>)                                     | yearOfPublication (dblp:yearOfPublication) | 2023 (xsd:gYear) |
| Wenhui Li et al.: Monocular Image Based 3D Model Retrieval. (2019) (<https://dblp.org/rec/conf/3dor/LiLNSLWXZBCCCDD19>)                                      | yearOfPublication (dblp:yearOfPublication) | 2019 (xsd:gYear) |
| Sastri Kota et al.: INGR Satellite Roadmap - 2022 Edition. (2022) (<https://dblp.org/rec/conf/5gwf/KotaGAA0BCDDCDD22>)                                       | yearOfPublication (dblp:yearOfPublication) | 2022 (xsd:gYear) |
| Artur Binczewski et al.: Polish ... Worldwide LHC Computing. (2012) (<https://dblp.org/rec/books/sp/plgrid2012/BinczewskiBCDFFGIKLLLMMMNOOPPPRRSSSSTWWWW12>) | yearOfPublication (dblp:yearOfPublication) | 2012 (xsd:gYear) |
| Emanuele Rodolà et al.: Deformab...ieval with Missing Parts. (2017) (<https://dblp.org/rec/conf/3dor/RodolaCLBBAHBCD17>)                                     | yearOfPublication (dblp:yearOfPublication) | 2017 (xsd:gYear) |
| Scott L. Fleming et al.: MedAlig...ectronic Medical Records. (2024) (<https://dblp.org/rec/conf/aaai/FlemingLHJRTBGS24>)                                     | yearOfPublication (dblp:yearOfPublication) | 2024 (xsd:gYear) |
| Marc Roelands et al.: The DiY Sm...t of Things Applications. (2011) (<https://dblp.org/rec/books/daglib/p/RoelandsPMVSLCSVBHVMGRLDCFMHRNBEARTM11>)           | yearOfPublication (dblp:yearOfPublication) | 2011 (xsd:gYear) |
| Ioannis Pratikakis et al.: Parti... for 3D Object Retrieval. (2016) (<https://dblp.org/rec/conf/3dor/PratikakisSAIKT16>)                                     | yearOfPublication (dblp:yearOfPublication) | 2016 (xsd:gYear) |
| Harald Anacker et al.: Methods f...e Design and Development. (2014) (<https://dblp.org/rec/books/daglib/p/AnackerDFGHHHKKKK0OOPPRRRRSSSTTWXZ14>)             | yearOfPublication (dblp:yearOfPublication) | 2014 (xsd:gYear) |
| ...                                                                                | ...                                        | ...              |

[Tool]
Got 6,653 rows and 3 columns, showing the first 5 and last 5 rows below:
| paper                                                                                | title                                                               | year             |
| ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------- | ---------------- |
| Jimmy et al.: On the Volatility ...ation Retrieval Research. (2018) (<https://dblp.org/rec/conf/sigir/-JimmyZD18>)       | On the Volatility of Commercial ... Information Retrieval Research. | 2018 (xsd:gYear) |
| Xinghua Zhang et al.: Representa...Named Entity Recognition. (2023) (<https://dblp.org/rec/conf/sigir/00010CLWLX23>)     | Representation and Labeling Gap ...ingual Named Entity Recognition. | 2023 (xsd:gYear) |
| Yuanxing Liu et al.: U-NEED: A F...rsational Recommendation. (2023) (<https://dblp.org/rec/conf/sigir/00010DFWFCZCLC23>) | U-NEED: A Fine-grained Dataset f...e Conversational Recommendation. | 2023 (xsd:gYear) |
| Junyu Luo et al.: Clinical Trial...ined Similarity Learning. (2024) (<https://dblp.org/rec/conf/sigir/00010GM24>)        | Clinical Trial Retrieval via Multi-grained Similarity Learning.     | 2024 (xsd:gYear) |
| Qingpeng Cai et al.: AgentIR: 1s...ed Information Retrieval. (2024) (<https://dblp.org/rec/conf/sigir/00010P0H00YY24>)   | AgentIR: 1st Workshop on Agent-based Information Retrieval.         | 2024 (xsd:gYear) |
| ...                                                                                | ...                                                                 | ...              |
| Guido Zuccon et al.: The interac...ifying document rankings. (2011) (<https://dblp.org/rec/conf/sigir/ZucconAR11>)       | The interactive PRP for diversifying document rankings.             | 2011 (xsd:gYear) |
| Guido Zuccon and Bevan Koopman: ... Consumers to Clinicians. (2017) (<https://dblp.org/rec/conf/sigir/ZucconK17>)        | SIGIR 2017 Tutorial on Health Se...ay from Consumers to Clinicians. | 2017 (xsd:gYear) |
| Guido Zuccon and Bevan Koopman: ... Consumers to Clinicians. (2018) (<https://dblp.org/rec/conf/sigir/ZucconK18>)        | SIGIR 2018 Tutorial on Health Se...ay from Consumers to Clinicians. | 2018 (xsd:gYear) |
| Stefan Zwicklbauer et al.: Robus...ough Semantic Embeddings. (2016) (<https://dblp.org/rec/conf/sigir/ZwicklbauerSG16>)  | Robust and Collective Entity Dis...ion through Semantic Embeddings. | 2016 (xsd:gYear) |
| Roelof van Zwol et al.: Machine ...ranking of entity facets. (2010) (<https://dblp.org/rec/conf/sigir/ZwolPMS10>)        | Machine learned ranking of entity facets.                           | 2010 (xsd:gYear) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query retrieves papers published in SIGIR by matching the string "SIGIR" in the dblp:publishedIn property. However, in the DBLP knowledge graph, conferences and journals are typically modelled as entities (IRIs), not as string literals. Therefore, the query should first identify the IRI for SIGIR (e.g., ?conf a dblp:Conference ; rdfs:label "SIGIR"), and then use that IRI in the publishedIn triple pattern. This will make the query more robust and accurate, avoiding potential mismatches or missing results due to string-based matching. Additionally, the OPTIONAL clauses for title and year are appropriate, but if all papers are expected to have these fields, they could be made mandatory. However, keeping them OPTIONAL is acceptable if some entries might be missing this information.

[Assistant]
Thank you for the feedback. You are correct: in the DBLP knowledge graph, conferences like SIGIR are typically represented as entities (IRIs), not as string literals. Therefore, to make the query robust and accurate, we should:

1. Identify the IRI for the SIGIR conference series.
2. Use this IRI in the dblp:publishedIn triple pattern, rather than the string "SIGIR".
3. Optionally, use rdfs:label to ensure we are selecting the correct conference entity.

From previous steps, we identified the SIGIR conference series as:
<https://dblp.org/streams/conf/sigir>

Let's now construct a refined query that:
- Selects all papers where dblp:publishedIn <https://dblp.org/streams/conf/sigir>
- Optionally retrieves the title and publication year.

Here is the improved SPARQL query:

```sparql
SELECT ?paper ?title ?year WHERE {
  ?paper dblp:publishedIn <https://dblp.org/streams/conf/sigir> .
  OPTIONAL { ?paper dblp:title ?title }
  OPTIONAL { ?paper dblp:yearOfPublication ?year }
}
```

This approach ensures we are matching the correct conference entity and not relying on string matching, which could be error-prone.

Now, I will submit this as the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query structure is correct and uses the appropriate properties to retrieve papers published in SIGIR, along with their titles and publication years. However, the execution result returned no rows, which suggests that the IRI <https://dblp.org/streams/conf/sigir> may not match the actual value used in the knowledge graph for SIGIR publications. To refine the query, consider searching for the correct IRI or using a more flexible approach, such as matching the conference series by label (e.g., using rdfs:label) or by partial string matching if available. This will help ensure that the query retrieves the intended results.

[Assistant]
Thank you for the feedback. The issue is that while <https://dblp.org/streams/conf/sigir> is the IRI for the SIGIR conference series, the actual value used in the dblp:publishedIn property for individual papers may be different—often a string like "SIGIR" or an IRI for a specific year/instance of the conference.

To address this, let's take a step-by-step approach:

1. Find the actual values used in dblp:publishedIn for SIGIR papers by listing a sample of dblp:publishedIn values where the object contains "SIGIR".
2. Use these values (either as IRIs or strings) in the query to retrieve the papers.

Let's start by searching for dblp:publishedIn values that contain "SIGIR".

[Tool]
No entity items found

No other items found

Top 10 literal alternatives:
1. SIGIR
2. SIGIR Forum
3. SIGIR-AP
4. SIGIR Workshop: Information Retrieval Techniques for Speech Applications

[Tool]
Got 6,653 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                       | object |
| ------------------------------------------------------------------------------------------------------------------------------ | ------------------------------ | ------ |
| Mofetoluwa Adeyemi et al.: CIRAL...ons in African Languages. (2024) (<https://dblp.org/rec/conf/sigir/AdeyemiO0ARCOAE24>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Zhaoxin Huan et al.: Exploring M...th a Large Scale Dataset. (2024) (<https://dblp.org/rec/conf/sigir/HuanDLZM0ZZMGLZ24>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Alessandro Bozzon et al.: Pharos...iovisual search platform. (2009) (<https://dblp.org/rec/conf/sigir/BozzonBFNDMNPAPLZBWC09>) | publishedIn (dblp:publishedIn) | SIGIR  |
| Lanling Xu et al.: Towards a Mor... for Recommender Systems. (2023) (<https://dblp.org/rec/conf/sigir/XuTZZWZLTZHPZCW23>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Rosie Jones et al.: Current Chal...dcast Information Access. (2021) (<https://dblp.org/rec/conf/sigir/JonesZSCRCKHPNY21>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Tsuyoshi Kitani et al.: Lessons ... for Japanese IR Systems. (1998) (<https://dblp.org/rec/conf/sigir/KitaniOIKKTFMUSTTNA98>)  | publishedIn (dblp:publishedIn) | SIGIR  |
| Feng-Lin Li et al.: AliMe Avatar...ive-streaming E-commerce. (2021) (<https://dblp.org/rec/conf/sigir/LiZ0LCCPZSLXHZC21>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Wen Zhang et al.: NeuralKG: An O...ning of Knowledge Graphs. (2022) (<https://dblp.org/rec/conf/sigir/ZhangCYCZYHXZXY22>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| Haolan Zhan et al.: SocialDial: ...y-Aware Dialogue Systems. (2023) (<https://dblp.org/rec/conf/sigir/ZhanLWLFKHQSSZS23>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| James Mayfield et al.: On the Ev...achine-Generated Reports. (2024) (<https://dblp.org/rec/conf/sigir/MayfieldYLMMOSS24>)      | publishedIn (dblp:publishedIn) | SIGIR  |
| ...                                                                                | ...                            | ...    |

[Assistant]
From the previous step, we see that the value "SIGIR" (as a string literal) is indeed used in the dblp:publishedIn property for SIGIR papers. This confirms that the correct approach is to match dblp:publishedIn "SIGIR".

However, to make the query more robust, we could also consider including other possible variants (e.g., "SIGIR-AP", "SIGIR Forum", etc.), but for the main SIGIR conference, "SIGIR" is the correct literal.

Therefore, the refined query should be:

```sparql
SELECT ?paper ?title ?year WHERE {
  ?paper dblp:publishedIn "SIGIR" .
  OPTIONAL { ?paper dblp:title ?title }
  OPTIONAL { ?paper dblp:yearOfPublication ?year }
}
```

This matches the actual data in the knowledge graph and will retrieve all papers published in SIGIR, with their titles and publication years.

Final answer:

[Tool] Stopped generation process


PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ?subtype ( COUNT( ?instance ) AS ?count ) ( ( COUNT( ?instance ) * 100.0 / ?total ) AS ?percentage ) WHERE {
  {
    SELECT ( SUM( ?c ) AS ?total ) WHERE {
      {
        SELECT ?subtype ( COUNT( ?instance ) AS ?c ) WHERE {
          VALUES ?subtype {
            dblp:Journal dblp:Conference dblp:Repository dblp:Series
          }
          ?instance a ?subtype .
        }
        GROUP BY ?subtype
      }
    }
  }
  VALUES ?subtype {
    dblp:Journal dblp:Conference dblp:Repository dblp:Series
  }
  ?instance a ?subtype .
}
GROUP BY ?subtype ?total

Got 4 rows and 3 columns:
| subtype                      | count          | percentage             |
| ---------------------------- | -------------- | ---------------------- |
| Conference (dblp:Conference) | 6920 (xsd:int) | 76.5148 (xsd:decimal)  |
| Journal (dblp:Journal)       | 1891 (xsd:int) | 20.9089 (xsd:decimal)  |
| Repository (dblp:Repository) | 13 (xsd:int)   | 0.143742 (xsd:decimal) |
| Series (dblp:Series)         | 220 (xsd:int)  | 2.43255 (xsd:decimal)  |

This query returns, for each stream subtype (Journal, Conference, Repository, Series), the count of its instances and its percentage frequency among all instances of these subtypes in DBLP.

[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 stream subtype entities

[Assistant]
Let's break down the question:

1. We are asked for the count and percentage frequency of "stream subtype entities".
2. First, I need to identify what "stream subtype entities" are in the DBLP knowledge graph. This likely refers to subtypes or subclasses of a "stream" entity, possibly related to publication streams (like conference series, journals, etc.).
3. I need to find the entity for "stream" and then look for its subtypes.
4. Then, I will count the instances of each subtype and compute their percentage frequency.

First, let's search for the entity "stream" in DBLP.

[Tool]
Top 10 entity alternatives:
1. Stream (dblp:Stream): A publication stream, i.e., a venue or source for publications.
2. streamTitle (dblp:streamTitle): A title of the stream.
3. StreamInsight. (2017) (<https://dblp.org/rec/reference/gis/X17xwb>)
4. Streams. (2008) (<https://dblp.org/rec/reference/gis/X08xpg>)
5. Streams. (2017) (<https://dblp.org/rec/reference/gis/X17xwc>)
6. Stream Mining. (2010) (<https://dblp.org/rec/reference/ml/X10ur>)
7. Stream Mining. (2017) (<https://dblp.org/rec/reference/ml/X17vv>)
8. Stream Processing. (2011) (<https://dblp.org/rec/reference/parallel/X11pn>)
9. Data Stream Processing. (2009) (<https://dblp.org/rec/reference/db/X09mp>)
10. Data Stream Algorithm. (2009) (<https://dblp.org/rec/reference/db/X09mo>)

[Assistant]
The top result, dblp:Stream, is described as "A publication stream, i.e., a venue or source for publications." This matches the likely meaning of "stream" in the context of DBLP.

Next, I need to find the subtypes or subclasses of dblp:Stream. In RDF/OWL, subtypes are usually modeled with rdfs:subClassOf or similar properties. I will check for subclasses of dblp:Stream.

[Tool]
Got 4 rows and 3 columns:
| subject                      | property        | object               |
| ---------------------------- | --------------- | -------------------- |
| Journal (dblp:Journal)       | rdfs:subClassOf | Stream (dblp:Stream) |
| Conference (dblp:Conference) | rdfs:subClassOf | Stream (dblp:Stream) |
| Repository (dblp:Repository) | rdfs:subClassOf | Stream (dblp:Stream) |
| Series (dblp:Series)         | rdfs:subClassOf | Stream (dblp:Stream) |

[Assistant]
There are four subtypes (subclasses) of dblp:Stream in the DBLP knowledge graph:
- dblp:Journal
- dblp:Conference
- dblp:Repository
- dblp:Series

Now, I need to count the number of instances for each of these subtypes and calculate their percentage frequency among all instances of these subtypes.

I'll first write a query to count the number of instances for each subtype.

[Tool]
Got 4 rows and 2 columns:
| subtype                      | count          |
| ---------------------------- | -------------- |
| Conference (dblp:Conference) | 6920 (xsd:int) |
| Journal (dblp:Journal)       | 1891 (xsd:int) |
| Repository (dblp:Repository) | 13 (xsd:int)   |
| Series (dblp:Series)         | 220 (xsd:int)  |

[Assistant]
I have obtained the counts for each stream subtype:
- Conference: 6920
- Journal: 1891
- Repository: 13
- Series: 220

Next, I need to calculate the percentage frequency for each subtype. This requires summing the total count and then dividing each subtype's count by the total, multiplying by 100 for the percentage.

I'll now write a SPARQL query that returns, for each subtype, its count and its percentage frequency among all instances of these four subtypes.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly computes both the count and percentage frequency for each specified stream subtype (Journal, Conference, Repository, Series) in the DBLP knowledge graph. It uses a subquery to calculate the total number of instances, then computes the percentage for each subtype. The query returns the required IRIs for the subtypes, and all computation is performed within SPARQL. The answer is complete and accurate according to the user's request.


PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ?subtype ( COUNT( ?creator ) AS ?count ) ( ( COUNT( ?creator ) * 100.0 / ?total ) AS ?percentage ) WHERE {
  {
    SELECT ( COUNT( ?allcreator ) AS ?total ) WHERE {
      ?pub dblp:createdBy ?allcreator .
    }
  }
  ?pub dblp:createdBy ?creator .
  ?creator a ?subtype .
  FILTER ( ?subtype IN ( dblp:Person , dblp:Group , dblp:AmbiguousCreator ) )
}
GROUP BY ?subtype ?total

The count and percentage frequency of creator subtypes in DBLP are:
- dblp:Person: 24,545,739 (93.33%)
- dblp:AmbiguousCreator: 1,752,279 (6.66%)
- dblp:Group: 1,466 (0.006%)

[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 creator subtype entities

[Assistant]
Let's break down the question:

1. We need to find entities that are subtypes of "creator".
2. For each subtype, we need to count how many times it appears (frequency).
3. We also need to calculate the percentage frequency for each subtype.

First, I need to identify how "creator" and its subtypes are represented in the DBLP knowledge graph. I'll start by searching for the "creator" entity.

[Tool]
Top 10 entity alternatives:
1. Creator (dblp:Creator): A creator of a publication.
2. creatorname (dblp:creatorName): The full name of the creator.
3. creatorOf (dblp:creatorOf): The creator of the publication.
4. creatorNote (dblp:creatorNote): An additional note about the creator.
5. Celestino Creatore, also known as Celestino Creatore (<https://dblp.org/pid/236/0870>)
6. Dan Smith: eRebuild Level Creator. (2018) (<https://dblp.org/rec/conf/icccrea/Smith18>)
7. Robert G. Ferrell: /dev/random: Discontent Creator. (2020) (<https://dblp.org/rec/journals/usenix-login/Ferrell20c>)
8. Tomotaka Takahashi: Robot Designer or Robot Creator. (2007) (<https://dblp.org/rec/conf/ro-man/Takahashi07>)
9. Bill Hancock: Melissa Virus Creator Pleads Guilty. (2000) (<https://dblp.org/rec/journals/compsec/HancockW00h>)
10. Miriam Sturdee: Who Creates for the Creators? (2024) (<https://dblp.org/rec/journals/interactions/Sturdee24a>)

[Assistant]
From the search results, "Creator" is represented as dblp:Creator, which is described as "A creator of a publication." In the context of DBLP, "creator" typically refers to authors or contributors to publications.

To find subtypes of "creator," I need to check if there are any subclasses or specific roles (such as author, editor, etc.) defined under dblp:Creator. I'll search for subclasses or related types to dblp:Creator.

[Tool]
Got 3 rows and 3 columns:
| subject                                  | property        | object                 |
| ---------------------------------------- | --------------- | ---------------------- |
| Group (dblp:Group)                       | rdfs:subClassOf | Creator (dblp:Creator) |
| Person (dblp:Person)                     | rdfs:subClassOf | Creator (dblp:Creator) |
| AmbiguousCreator (dblp:AmbiguousCreator) | rdfs:subClassOf | Creator (dblp:Creator) |

[Assistant]
There are three subtypes (subclasses) of dblp:Creator in the DBLP knowledge graph:
1. dblp:Group
2. dblp:Person
3. dblp:AmbiguousCreator

Next, I need to count the frequency of each subtype as a creator, and also calculate the percentage frequency for each subtype. To do this, I will:
- Count the total number of creators (of any subtype).
- Count the number of creators for each subtype.
- Calculate the percentage for each subtype.

I'll start by checking how creators are linked to publications, likely via a property such as dblp:creator or similar.

[Tool]
Top 10 property alternatives:
1. creator name (dblp:creatorName): The full name of the creator., Creator
2. created by (dblp:createdBy): The publication is created by the creator., Publication, Creator
3. creator note (dblp:creatorNote): An additional note about the creator., Creator
4. primary creator name (dblp:primaryCreatorName): The primary full name of the creator., creatorname, Creator
5. number of creators (dblp:numberOfCreators): The number of creators who created this publication., Publication
6. signature creator (dblp:signatureCreator): A linked creator of the publication., Signature, Creator
7. authored by (dblp:authoredBy): The publication is authored by the creator., Publication, createdBy, Creator
8. published by (dblp:publishedBy): The publisher of the publication. (Remark: This property current...string values until publishers are modelled as proper entities.), Publication
9. version concept (dblp:versionConcept): The linked general (concept) publication., VersionRelation, Publication
10. edited by (dblp:editedBy): The publication is edited by the creator., Publication, createdBy, Creator

[Assistant]
The property dblp:createdBy links a publication to its creator (which can be a Person, Group, or AmbiguousCreator). To count the frequency of each subtype, I need to:
- Find all instances where a publication is linked to a creator via dblp:createdBy.
- For each creator, determine its type (Person, Group, AmbiguousCreator).
- Count the occurrences for each type.
- Calculate the percentage for each type out of the total.

I'll write a SPARQL query to do this, returning the IRI of the subtype, the count, and the percentage.

[Tool]
Got 3 rows and 3 columns:
| subtype                                  | count              | percentage               |
| ---------------------------------------- | ------------------ | ------------------------ |
| AmbiguousCreator (dblp:AmbiguousCreator) | 1752279 (xsd:int)  | 6.66279 (xsd:decimal)    |
| Group (dblp:Group)                       | 1466 (xsd:int)     | 0.00557425 (xsd:decimal) |
| Person (dblp:Person)                     | 24545739 (xsd:int) | 93.3316 (xsd:decimal)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of creators by subtype and calculates the percentage frequency for each subtype. It returns the IRIs of the subtypes as required, and the computation is performed within SPARQL. The answer matches the execution result, and all relevant subtypes are included. No further refinement is necessary.