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Ontologies for Knowledge Graphs: Breaking the Rules
[chapter]
2016
Lecture Notes in Computer Science
Large-scale knowledge graphs (KGs) are widely used in industry and academia, and provide excellent use-cases for ontologies. We find, however, 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. Normalising them to suit KGs often also destroys syntactic restrictions that ensure decidability and low complexity. We study this issue
doi:10.1007/978-3-319-46523-4_23
fatcat:i3jgivfb75hdbdohmocj34svfa