Alani, Harith; Noy, Natasha; Shah, Nigam; Shadbolt, Nigel and Musen, Mark
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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)|
|Depositing User:||Harith Alani|
|Date Deposited:||19 Apr 2010 14:33|
|Last Modified:||06 Aug 2016 05:50|
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