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Alani, Harith; Noy, Natasha; Shah, Nigam; Shadbolt, Nigel and Musen, Mark
(2007).
URL: http://protege.stanford.edu/conference/2007/
Abstract
As more ontologies become publicly available, finding the 'right' ontologies becomes much harder. In this paper, we introduce a new ontology search technique which is based on corpus analysis. In particular, we look at the case when users search for ontologies relevant to a particular topic (e.g., an ontology about anatomy). Our experiments demonstrate that using our method for query expansion improves retrieval results by a 113%, compared to the tools that search only for the user query terms and consider only class and property names.
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- Item ORO ID
- 21190
- Item Type
- Conference or Workshop Item
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2007 The Authors
- Depositing User
- Harith Alani