VLog: A Rule Engine for Knowledge Graphs

David Carral; Irina Dragoste; Larry González; Ceriel Jacobs; Markus Krötzsch; Jacopo Urbani

doi:10.1007/978-3-030-30796-7_2

VLog: A Rule Engine for Knowledge Graphs

David Carral
, Irina Dragoste
, Larry González
, Ceriel Jacobs
, Markus Krötzsch
, Jacopo Urbani

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Knowledge graphs are crucial assets for tasks like query answering or data integration. These tasks can be viewed as reasoning problems, which in turn require efficient reasoning systems to be implemented. To this end, we present VLog, a rule-based reasoner designed to satisfy the requirements of modern use cases, with a focus on performance and adaptability to different scenarios. We address the former with a novel vertical storage layout, and the latter by abstracting the access to data sources and providing a platform-independent Java API. Features of VLog include fast Datalog materialisation, support for reasoning with existential rules, stratified negation, and data integration from a variety of sources, such as high-performance RDF stores, relational databases, CSV files, OWL ontologies, and remote SPARQL endpoints.

Original language	English
Title of host publication	The Semantic Web - ISWC 2019
Subtitle of host publication	18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II
Editors	Chiara Ghidini, Maria Maleshkova, Isabel Cruz, Jie Song, Fabien Gandon, Olaf Hartig, Vojtěch Svátek, Aidan Hogan, Maxime Lefrançois
Publisher	Springer International Publishing AG
Pages	19-35
Number of pages	17
Volume	2
ISBN (Electronic)	9783030307967
ISBN (Print)	9783030307950
DOIs	https://doi.org/10.1007/978-3-030-30796-7_2
Publication status	Published - 2019
Event	18th International Semantic Web Conference, ISWC 2019 - Auckland, New Zealand Duration: 26 Oct 2019 → 30 Oct 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11779 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Semantic Web Conference, ISWC 2019
Country/Territory	New Zealand
City	Auckland
Period	26/10/19 → 30/10/19

Funding

Acknowledgements. This work is partly supported by DFG in projects 389792660 (TRR 248, Center for Perspicuous Systems) and KR 4381/1-1 (DIAMOND).

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10.1007/978-3-030-30796-7_2

VLog A Rule Engine for Knowledge GraphsFinal published version, 998 KBLicence: Article 25fa Dutch Copyright Act

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Carral, D., Dragoste, I., González, L., Jacobs, C., Krötzsch, M., & Urbani, J. (2019). VLog: A Rule Engine for Knowledge Graphs. In C. Ghidini, M. Maleshkova, I. Cruz, J. Song, F. Gandon, O. Hartig, V. Svátek, A. Hogan, & M. Lefrançois (Eds.), The Semantic Web - ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II (Vol. 2, pp. 19-35). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11779 LNCS). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-30796-7_2

Carral, David ; Dragoste, Irina ; González, Larry et al. / VLog: A Rule Engine for Knowledge Graphs. The Semantic Web - ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II. editor / Chiara Ghidini ; Maria Maleshkova ; Isabel Cruz ; Jie Song ; Fabien Gandon ; Olaf Hartig ; Vojtěch Svátek ; Aidan Hogan ; Maxime Lefrançois. Vol. 2 Springer International Publishing AG, 2019. pp. 19-35 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Knowledge graphs are crucial assets for tasks like query answering or data integration. These tasks can be viewed as reasoning problems, which in turn require efficient reasoning systems to be implemented. To this end, we present VLog, a rule-based reasoner designed to satisfy the requirements of modern use cases, with a focus on performance and adaptability to different scenarios. We address the former with a novel vertical storage layout, and the latter by abstracting the access to data sources and providing a platform-independent Java API. Features of VLog include fast Datalog materialisation, support for reasoning with existential rules, stratified negation, and data integration from a variety of sources, such as high-performance RDF stores, relational databases, CSV files, OWL ontologies, and remote SPARQL endpoints.",

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Carral, D, Dragoste, I, González, L, Jacobs, C, Krötzsch, M & Urbani, J 2019, VLog: A Rule Engine for Knowledge Graphs. in C Ghidini, M Maleshkova, I Cruz, J Song, F Gandon, O Hartig, V Svátek, A Hogan & M Lefrançois (eds), The Semantic Web - ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II. vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11779 LNCS, Springer International Publishing AG, pp. 19-35, 18th International Semantic Web Conference, ISWC 2019, Auckland, New Zealand, 26/10/19. https://doi.org/10.1007/978-3-030-30796-7_2

VLog: A Rule Engine for Knowledge Graphs. / Carral, David; Dragoste, Irina; González, Larry et al.
The Semantic Web - ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II. ed. / Chiara Ghidini; Maria Maleshkova; Isabel Cruz; Jie Song; Fabien Gandon; Olaf Hartig; Vojtěch Svátek; Aidan Hogan; Maxime Lefrançois. Vol. 2 Springer International Publishing AG, 2019. p. 19-35 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11779 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - González, Larry

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AU - Urbani, Jacopo

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AB - Knowledge graphs are crucial assets for tasks like query answering or data integration. These tasks can be viewed as reasoning problems, which in turn require efficient reasoning systems to be implemented. To this end, we present VLog, a rule-based reasoner designed to satisfy the requirements of modern use cases, with a focus on performance and adaptability to different scenarios. We address the former with a novel vertical storage layout, and the latter by abstracting the access to data sources and providing a platform-independent Java API. Features of VLog include fast Datalog materialisation, support for reasoning with existential rules, stratified negation, and data integration from a variety of sources, such as high-performance RDF stores, relational databases, CSV files, OWL ontologies, and remote SPARQL endpoints.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 35

BT - The Semantic Web - ISWC 2019

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Carral D, Dragoste I, González L, Jacobs C, Krötzsch M, Urbani J. VLog: A Rule Engine for Knowledge Graphs. In Ghidini C, Maleshkova M, Cruz I, Song J, Gandon F, Hartig O, Svátek V, Hogan A, Lefrançois M, editors, The Semantic Web - ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II. Vol. 2. Springer International Publishing AG. 2019. p. 19-35. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2019 Oct 17. doi: 10.1007/978-3-030-30796-7_2

VLog: A Rule Engine for Knowledge Graphs

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