The CaLiGraph ontology as a challenge for OWL reasoners

Heist, Nicolas ; Paulheim, Heiko

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URN: urn:nbn:de:bsz:180-madoc-619627
Document Type: Conference or workshop publication
Year of publication: 2021
Book title: Semantic Reasoning Evaluation Challenge 2021 : proceedings of the Semantic Reasoning Evaluation Challenge (SemREC 2021), co-located with the 20th International Semantic Web Conference (ISWC 2021); virtual event, October 27th, 2021
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 3123
Page range: 21-31
Conference title: SemREC 2021
Location of the conference venue: Online
Date of the conference: 27.10.2021
Publisher: Singh, Gunjan ; Mutharaju, Raghava ; Kapanipathi, Pavan
Place of publication: Aachen, Germany
Publishing house: RWTH Aachen
ISSN: 1613-0073
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Data Science (Paulheim 2018-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Abstract: CaLiGraph is a large-scale cross-domain knowledge graph generated from Wikipedia by exploiting the category system, list pages, and other list structures in Wikipedia, containing more than 15 million typed entities and around 10 million relation assertions. Other than knowledge graphs such as DBpedia and YAGO, whose ontologies are comparably simplistic, CaLiGraph also has a rich ontology, comprising more than 200,000 class restrictions. Those two properties – a large A-box and a rich ontology – make it an interesting challenge for benchmarking reasoners. In this paper, we show that a reasoning task which is particularly relevant for CaLiGraph, i.e., the materialization of owl:hasValue constraints into assertions between individuals and between individuals and literals, is insufficiently supported by available reasoning systems. We provide differently sized benchmark subsets of CaLiGraph, which can be used for performance analysis of reasoning systems.
Additional information: Online-Ressource

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