title: BiOSS: A system for biomedical ontology selection.
abstract: In biomedical informatics, ontologies are considered a key technology for annotating, retrieving and sharing the huge volume of publicly available data. Due to the increasing amount, complexity and variety of existing biomedical ontologies, choosing the ones to be used in a semantic annotation problem or to design a specific application is a difficult task. As a consequence, the design of approaches and tools addressed to facilitate the selection of biomedical ontologies is becoming a priority. In this paper we present BiOSS, a novel system for the selection of biomedical ontologies. BiOSS evaluates the adequacy of an ontology to a given domain according to three different criteria: (1) the extent to which the ontology covers the domain; (2) the semantic richness of the ontology in the domain; (3) the popularity of the ontology in the biomedical community. BiOSS has been applied to 5 representative problems of ontology selection. It also has been compared to existing methods and tools. Results are promising and show the usefulness of BiOSS to solve real-world ontology selection problems. BiOSS is openly available both as a web tool and a web service.
authors.affiliation: IMEDIR Center, University of A Coruña, Campus de Elviña s/n, 15071 A Coruña, Spain. Electronic address: marcosmartinez@udc.es.
authors.forename: Marcos
authors.initials: M
authors.lastname: Martínez-Romero
authors.affiliation: Department of Information and Communication Technologies, Computer Science Faculty, University of A Coruña, 15071 A Coruña, Spain. Electronic address: jmvazquez@udc.es.
authors.forename: José M
authors.initials: JM
authors.lastname: Vázquez-Naya
authors.affiliation: IMEDIR Center, University of A Coruña, Campus de Elviña s/n, 15071 A Coruña, Spain. Electronic address: javierp@udc.es.
authors.forename: Javier
authors.initials: J
authors.lastname: Pereira
authors.affiliation: Department of Information and Communication Technologies, Computer Science Faculty, University of A Coruña, 15071 A Coruña, Spain. Electronic address: apazos@udc.es.
authors.forename: Alejandro
authors.initials: A
authors.lastname: Pazos
mesh_terms: D064229:Biological Ontologies; D012660:Semantics
keywords: Ontology evaluation; Ontology recommendation; Ontology selection; Semantic Web