Semantic integration of information about orthologs and diseases: The OGO system

Authors:
Jose Antonio Miñarro-Gimenez;Mikel Egaña Aranguren;Rodrigo Martínez Béjar;Jesualdo Tomás Fernández-Breis;Marisa Madrid
Affiliations:
Faculty of Computer Science, University of Murcia, Spain;Faculty of Computer Science, University of Murcia, Spain and Ontology Engineering Group, Department of Artificial Intelligence, School of Computer Science, Technical University of Madrid (UPM), Sp ...;Faculty of Computer Science, University of Murcia, Spain;Faculty of Computer Science, University of Murcia, Spain;Paterson Institute for Cancer Research, Manchester, UK
Venue:
Journal of Biomedical Informatics
Year:
2011

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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.