QLever: Difference between revisions
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{{Infobox software |
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| title = QLever |
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| author = [[Hannah Bast]], Björn Buchhold, et al.{{sfn|Bast|Buchhold|2017}} |
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| released = {{Start date and age|2017}} |
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| repo = {{URL|https://github.com/ad-freiburg/qlever}} |
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| qid = Q111016295 |
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| programming language = [[C++]] |
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| standard = [[SPARQL]] |
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| language = [[English language|English]] |
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| genre = [[Graph database]] |
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| license = [[Apache License]] |
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| website = {{URL|https://qlever.cs.uni-freiburg.de/}} |
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}} |
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'''QLever''' is an [[Open-source software|open-source]] [[triplestore]] and [[graph database]] developed by a team at the [[University of Freiburg]] led by [[Hannah Bast]]. QLever performs high-performance [[federated search]]es among [[semantic Web]] [[knowledge base]]s, including [[full-text search]] within text corpuses.{{sfn|Bast|Buchhold|2017}} A specialized user interface for QLever provides predictive [[autocompletion]] of [[SPARQL]] queries.{{sfn|Bast|Kalmbach|Klumpp|Kramer|2021}} QLever is one of the candidates to replace [[Blazegraph]] as the triplestore for the [[Wikidata Query Service]]. A 2023 study found that, compared to other triplestores, QLever achieved fast execution of successful queries but offered limited support for complex SPARQL constructs.<ref>{{cite conference|title=Evaluation of a Representative Selection of SPARQL Query Engines Using Wikidata|first1=An Ngoc|last1=Lam|first2=Brian|last2=Elvesæter|first3=Francisco|last3=Martin-Recuerda|work=[[Extended Semantic Web Conference]]|series=Lecture Notes in Computer Science|publisher=Springer, Cham|volume=13870|date=2023|url=https://link.springer.com/chapter/10.1007/978-3-031-33455-9_40|via=SpringerLink}}</ref> |
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== Contents == |
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The official QLever server endpoint provides access to the following datasets:<ref>{{cite web|title=QLever|publisher=University of Freiburg Chair for Algorithms and Data Structures|location=Freiburg im Breisgau|accessdate=13 July 2024|url=https://qlever.cs.uni-freiburg.de/}}</ref> |
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* [[Wikidata]] |
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* [[Wikimedia Commons]] |
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* [[Freebase (database)|Freebase]] |
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* [[OpenStreetMap]] |
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* [[OpenHistoricalMap]] |
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* [[UniProt]] |
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* [[PubChem]] |
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* [[DBLP]] |
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* [[OpenCitations]] |
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* [[IMDb]] |
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* [[Integrated Authority File]] |
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* [[YAGO (database)|YAGO]] |
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* [[DBpedia]] |
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* Wallscope Olympics database |
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== See also == |
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* [[List of SPARQL implementations]] |
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== References == |
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{{reflist}} |
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== Further reading == |
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* {{cite conference|title=QLever: A Query Engine for Efficient SPARQL+Text Search|first1=Hannah|last1=Bast|author1-link=Hannah Bast|first2=Björn|last2=Buchhold|work=[[Conference on Information and Knowledge Management]]|date=November 6–10, 2017|location=Singapore|publisher=[[Association for Computing Machinery]]|isbn=978-1-4503-4918-5|doi=10.1145/3132847.3132921|url=https://ad-publications.cs.uni-freiburg.de/CIKM_qlever_BB_2017.pdf}} |
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* {{cite arXiv|title=Efficient SPARQL Autocompletion via SPARQL|first1=Hannah|last1=Bast|first2=Johannes|last2=Kalmbach|first3=Theresa|last3=Klumpp|first4=Florian|last4=Kramer|first5=Niklas|last5=Schnelle|date=29 April 2021|eprint=2104.14595v1|class=cs.DB}} |
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== External links == |
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* {{Official website|https://qlever.cs.uni-freiburg.de/}} |
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* {{GitHub|ad-freiburg/qlever}} |
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* {{GitHub|ad-freiburg/qlever-ui}} |
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[[Category:Triplestores]] |
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[[Category:Graph databases]] |
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Revision as of 01:38, 14 July 2024
| Original author(s) | Hannah Bast, Björn Buchhold, et al.[1] |
|---|---|
| Initial release | 2017 |
| Repository | github |
| Written in | C++ |
| Standard(s) | SPARQL |
| Available in | English |
| Type | Graph database |
| License | Apache License |
| Website | qlever |
QLever is an open-source triplestore and graph database developed by a team at the University of Freiburg led by Hannah Bast. QLever performs high-performance federated searches among semantic Web knowledge bases, including full-text search within text corpuses.[1] A specialized user interface for QLever provides predictive autocompletion of SPARQL queries.[2] QLever is one of the candidates to replace Blazegraph as the triplestore for the Wikidata Query Service. A 2023 study found that, compared to other triplestores, QLever achieved fast execution of successful queries but offered limited support for complex SPARQL constructs.[3]
Contents
The official QLever server endpoint provides access to the following datasets:[4]
- Wikidata
- Wikimedia Commons
- Freebase
- OpenStreetMap
- OpenHistoricalMap
- UniProt
- PubChem
- DBLP
- OpenCitations
- IMDb
- Integrated Authority File
- YAGO
- DBpedia
- Wallscope Olympics database
See also
References
- ^ a b Bast & Buchhold 2017.
- ^ Bast et al. 2021.
- ^ Lam, An Ngoc; Elvesæter, Brian; Martin-Recuerda, Francisco (2023). Evaluation of a Representative Selection of SPARQL Query Engines Using Wikidata. Extended Semantic Web Conference. Lecture Notes in Computer Science. Vol. 13870. Springer, Cham – via SpringerLink.
- ^ "QLever". Freiburg im Breisgau: University of Freiburg Chair for Algorithms and Data Structures. Retrieved 13 July 2024.
Further reading
- Bast, Hannah; Buchhold, Björn (November 6–10, 2017). QLever: A Query Engine for Efficient SPARQL+Text Search (PDF). Conference on Information and Knowledge Management. Singapore: Association for Computing Machinery. doi:10.1145/3132847.3132921. ISBN 978-1-4503-4918-5.
- Bast, Hannah; Kalmbach, Johannes; Klumpp, Theresa; Kramer, Florian; Schnelle, Niklas (29 April 2021). "Efficient SPARQL Autocompletion via SPARQL". arXiv:2104.14595v1 [cs.DB].