Alani, Harith; Noy, Natasha; Shah, Nigam; Shadbolt, Nigel and Musen, Mark
(2007).
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| URL: | http://protege.stanford.edu/conference/2007/ |
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| Google Scholar: | Look up in Google Scholar |
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.
| Item Type: | Conference Item |
|---|---|
| Copyright Holders: | 2007 The Authors |
| Academic Unit/Department: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 21190 |
| Depositing User: | Harith Alani |
| Date Deposited: | 19 Apr 2010 14:33 |
| Last Modified: | 06 Aug 2016 05:50 |
| URI: | http://oro.open.ac.uk/id/eprint/21190 |
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