| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 517730 | Journal of Biomedical Informatics | 2011 | 12 Pages |
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.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► The OGO system integrates the orthology information with genetic disorders. ► The ontological infrastructure of the OGO system reuses available bio-ontologies. ► The OGO system allows semantic querying without needing master semantic languages.
