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Searching biomedical ontologies based on content

By Harith Alani, Natasha Noy, Nigam Shah, Nigel Shadbolt and Mark Musen


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

Year: 2007
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Provided by: Open Research Online

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