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Pattern Ranking for Semi-automatic Ontology Construction
Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. (Information Engineering)
2008 (English)In: Proceedings of the 2008 ACM symposium on Applied computing: Track on Semantic Web and Applications (SWA), 2008, p. 2248-Conference paper, Published paper (Refereed)
Abstract [en]

When developing semantic applications, the construction

of ontologies is a crucial part. We are developing a semiautomatic

ontology construction approach, OntoCase, relying

on ontology patterns as additional resources. A crucial

part of this approach is how to select the appropriate patterns

based on the input representation extracted from a

text corpus. In this paper, we suggest a pattern ranking

and selection approach with the ability to partially bridge

the gap between abstract patterns and specific terms, as well

as being specifically tuned to the characteristics of ontology

patterns. Compared to existing ontology ranking schemes

our approach adds indirect matching of terms as well as relation

matching. An initial experiment indicates that Onto-

Case ranking performs better, especially when ranking small

and abstract patterns, than existing ranking approaches.

Place, publisher, year, edition, pages
2008. p. 2248-
Keywords [en]
Ontologies, Ontology Pattern
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-5965ISBN: 978-1-59593-753-7 (print)OAI: oai:DiVA.org:hj-5965DiVA, id: diva2:36785
Available from: 2008-09-16 Created: 2008-09-16 Last updated: 2018-01-12Bibliographically approved

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Blomqvist, Eva

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