BioRegistry: Automatic extraction of metadata for biological database retrieval and discovery. (7th July 2010)

• Record Type: Journal Article
• Authors: Devignes, Marie-Dominique; Franiatte, Philippe; Messai, Nizar; Bresso, Emmanuel; Napoli, Amedeo; Smail-Tabbone, Malika
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 5:Number 3(2010)
• Page Start: 184
• Page End: 193
• Publication Date: 2010-07-07
• Subjects: resource discovery -- biological databases -- metadata extraction -- FCA -- formal concept analysis -- information retrieval -- semantic similarity -- biomedical thesaurus -- semantics -- classification -- information retrieval -- biological data sources -- bioinformatics; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

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.