Scoring semantic annotations returned by the NCBO Annotator - ANR - Agence nationale de la recherche Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Scoring semantic annotations returned by the NCBO Annotator

Résumé

Semantic annotation using biomedical ontologies is required to enable data integration, interoperability, indexing and mining of biomedical data. When used to support semantic indexing the scoring and ranking of annotations become as important as provenance and metadata on the annotations themselves. In the biomedical domain, one broadly used service for annotations is the NCBO Annotator Web service, offered within the BioPortal platform and giving access to more than 350+ ontologies or terminologies. This paper presents a new scoring method for the NCBO Annotator allowing to rank the annotation results and enabling to use such scores for better indexing of the annotated data. By using a natural language processing-based term extraction measure, C-Value, we are able to enhance the original scoring algorithm which uses basic frequencies of the matches and in addition to positively discriminate multi-words term annotations. We show results obtained by comparing three different methods with a reference corpus of PubMed-MeSH manual annotations.
Fichier principal
Vignette du fichier
paper_9.pdf (622.61 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

lirmm-01099860 , version 1 (05-01-2015)

Identifiants

  • HAL Id : lirmm-01099860 , version 1

Citer

Soumia Melzi, Clement Jonquet. Scoring semantic annotations returned by the NCBO Annotator. SWAT4LS: Semantic Web Applications and Tools for Life Sciences, Dec 2014, Berlin, Germany. ⟨lirmm-01099860⟩
427 Consultations
680 Téléchargements

Partager

Gmail Facebook X LinkedIn More