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

Identifieur interne : 002F11 ( Main/Exploration ); précédent : 002F10; suivant : 002F12

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

Auteurs : Marie-Dominique Devignes [France] ; Philippe Franiatte ; Nizar Messai ; Emmanuel Bresso ; Amedeo Napoli [France] ; Malika Smaïl-Tabbone [France]

Source :

RBID : Hal:inria-00502297

English descriptors

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.

Url:
DOI: 10.1504/IJMSO.2010.034043


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<div type="abstract" xml:lang="en">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.</div>
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