BioRegistry: Automatic extraction of metadata for biological database retrieval and discovery

Marie-Dominique Devignes 1 Philippe Franiatte Nizar Messai Emmanuel Bresso Amedeo Napoli 1 Malika Smaïl-Tabbone 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The need for a well-maintained searchable directory is an important issue with regard to the numerous biological databases produced by genomic and post-genomic research. The BioRegistry repository aims to associate content metadata belonging to a biomedical thesaurus with biological databases in view of retrieval or discovery. It is automatically generated from a publicly available list of biological databases. The querying modalities include a search by semantic similarity. The system performance is evaluated in terms of precision and recall on a collection test. A classification method is proposed for browsing and discovering databases through the BioRegistry.
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Article dans une revue
International Journal of Metadata, Semantics and Ontologies, Inderscience, 2010, 5 (3), pp.184--193. 〈10.1504/IJMSO.2010.034043〉
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https://hal.inria.fr/inria-00502297
Contributeur : Publications Loria <>
Soumis le : mardi 13 juillet 2010 - 16:50:26
Dernière modification le : jeudi 11 janvier 2018 - 06:19:53

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Marie-Dominique Devignes, Philippe Franiatte, Nizar Messai, Emmanuel Bresso, Amedeo Napoli, et al.. BioRegistry: Automatic extraction of metadata for biological database retrieval and discovery. International Journal of Metadata, Semantics and Ontologies, Inderscience, 2010, 5 (3), pp.184--193. 〈10.1504/IJMSO.2010.034043〉. 〈inria-00502297〉

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