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An Ontology for Ice Hockey
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-0644-4051
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-1881-3969
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Computer and Information Science, Database and information techniques.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
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2019 (English)In: ISWC 2019 Satellites: Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), 2019, p. 13-16Conference paper, Published paper (Refereed)
Abstract [en]

Ice hockey is a highly popular sport that has seen significant increase in the use of sport analytics. To aid in such analytics, most major leagues collect and share increasing amounts of play-by-play data and other statistics. Additionally, some websites specialize in making such data available to the public in user-friendly forms. However, these sites fail to capture the semantic information of the data, and cannot be used to support more complex data requirements. In this paper, we present the design and development of an ice hockey ontology that provides improved knowledge representation, enables intelligent search and information acquisition, and helps when using information from multiple databases. Our ontology is substantially larger than previous ice hockey ontologies (that cover only a small part of the domain) and provides a formal and explicit representation of the ice hockey domain, supports information retrieval, data reuse, and complex performance metrics.

Place, publisher, year, edition, pages
2019. p. 13-16
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 456
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-160713OAI: oai:DiVA.org:liu-160713DiVA, id: diva2:1357462
Conference
18th International Semantic Web Conference
Available from: 2019-10-03 Created: 2019-10-03 Last updated: 2019-10-03

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Keskisärkkä, RobinCarlsson, Niklas

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