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Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies.


ABSTRACT: We used exact term matching, stemming, and inclusion of synonyms, implemented via the Lucene information retrieval library, to discover relationships between the Gene Ontology and three other OBO ontologies: ChEBI, Cell Type, and BRENDA Tissue. Proposed relationships were evaluated by domain experts. We discovered 91,385 relationships between the ontologies. Various methods had a wide range of correctness. Based on these results, we recommend careful evaluation of all matching strategies before use, including exact string matching. The full set of relationships is available at compbio.uchsc.edu/dependencies.

SUBMITTER: Johnson HL 

PROVIDER: S-EPMC1810343 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature

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Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies.

Johnson Helen L HL   Cohen K Bretonnel KB   Baumgartner William A WA   Lu Zhiyong Z   Bada Michael M   Kester Todd T   Kim Hyunmin H   Hunter Lawrence L  

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 20060101


We used exact term matching, stemming, and inclusion of synonyms, implemented via the Lucene information retrieval library, to discover relationships between the Gene Ontology and three other OBO ontologies: ChEBI, Cell Type, and BRENDA Tissue. Proposed relationships were evaluated by domain experts. We discovered 91,385 relationships between the ontologies. Various methods had a wide range of correctness. Based on these results, we recommend careful evaluation of all matching strategies before  ...[more]

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