title: Semantic integration of information about orthologs and diseases: the OGO system.
abstract: Semantic Web technologies like RDF and OWL are currently applied in life sciences to improve knowledge management by integrating disparate information. Many of the systems that perform such task, however, only offer a SPARQL query interface, which is difficult to use for life scientists. We present the OGO system, which consists of a knowledge base that integrates information of orthologous sequences and genetic diseases, providing an easy to use ontology-constrain driven query interface. Such interface allows the users to define SPARQL queries through a graphical process, therefore not requiring SPARQL expertise.
authors.affiliation: Faculty of Computer Science, University of Murcia, Murcia, Spain. jose.minyarro@um.es
authors.forename: Jose Antonio
authors.initials: JA
authors.lastname: Miñarro-Gimenez
authors.forename: Mikel
authors.initials: M
authors.lastname: Egaña Aranguren
authors.forename: Rodrigo
authors.initials: R
authors.lastname: Martínez Béjar
authors.forename: Jesualdo Tomás
authors.initials: JT
authors.lastname: Fernández-Breis
authors.forename: Marisa
authors.initials: M
authors.lastname: Madrid
mesh_terms: D000818:Animals; D016208:Databases, Factual; D004194:Disease / Q000235:genetics*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D051188:Knowledge Bases; D009369:Neoplasms / Q000235:genetics; D012660:Semantics; D018875:Vocabulary, Controlled