Ontologies for Knowledge Graphs: Breaking the Rules
Markus Krötzsch, Veronika Thost
Ontologies for Knowledge Graphs: Breaking the Rules
Abstract. Large-scale knowledge graphs (KGs) abound in industry and academia. They provide a unified format for integrating information sources, aided by standards such as, e.g., the W3C RDB to RDF Mapping Language. Meaningful semantic integration, however, is much harder than syntactic alignment. Ontologies could be an interoperable and declarative solution to this task. At a closer look, however, we find that popular ontology languages, such as OWL and Datalog, cannot express even the most basic relationships on the normalised data format of KGs. Existential rules are more powerful, but may make reasoning undecidable, and normalising them to suit KGs can destroy syntactic restrictions that ensure decidability and low complexity. We study this issue for several classes of existential rules and derive more general syntactic criteria to recognise well-behaved rule-based ontologies over knowledge graphs.
Published at ISWC 2016 (Conference paper)
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Citation details
- Markus Krötzsch, Veronika Thost. Ontologies for Knowledge Graphs: Breaking the Rules. In Yolanda Gil, Elena Simperl, Paul Groth, Freddy Lecue, Markus Krötzsch, Alasdair Gray, Marta Sabou, Fabian Flöck, Hideaki Takeda, eds.: Proceedings of the 15th International Semantic Web Conference (ISWC 2016), pp. 376–392. SpringerProperty "Publisher" has a restricted application area and cannot be used as annotation property by a user. 2016.
author = {Markus Kr{\"o}tzsch and Veronika Thost},
title = {Ontologies for Knowledge Graphs:
Breaking the Rules},
booktitle = {Proceedings of the 15th International Semantic
Web Conference (ISWC'16)},
editor = {Yolanda Gil and Elena Simperl and Paul Groth
and Freddy Lecue and Markus Kr{\"{o}}tzsch
and Alasdair Gray and Marta Sabou
and Fabian Fl{\"{o}}ck and Hideaki Takeda},
publisher = {Springer},
series = {LNCS},
volume = {9981},
year = {2016}
}