Life Science Ontologies in Literature Retrieval: A Comparison of Linked Data Sets for Use in Semantic Search on a Heterogeneous Corpus
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Abstract
Ontologies are modeled using specific concepts of the knowledge domain as well as using generic concepts. Life science ontologies like MeSH, Agrovoc, and DrugBank are helpful for searching through large corpora. The distinct linkage to either the agricultural domain or the medical domain cannot be resolved for generic concepts that were created when modeling the domain. In information retrieval, it is required to filter knowledge resources for domain specific concepts in order to avoid noise in search results caused by generic concepts. Here, we present an exploratory step towards evaluating concept frequencies amongst different knowledge domains when employing ontologies in the retrieval on a large corpus.
Keywords
Life sciences Linked open data Named entity recognition Semantic searchReferences
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