Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Miñarro-Gimenez, JA; Egaña Aranguren, M; Martínez Béjar, R; Fernández-Breis, JT; Madrid, M.
Semantic integration of information about orthologs and diseases: the OGO system.
J Biomed Inform. 2011; 44(6):1020-1031
Doi: 10.1016/j.jbi.2011.08.002
[OPEN ACCESS]
Web of Science
PubMed
FullText
FullText_MUG
- Führende Autor*innen der Med Uni Graz
- Minarro-Gimenez Jose Antonio
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- 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. Copyright © 2011 Elsevier Inc. All rights reserved.
- Find related publications in this database (using NLM MeSH Indexing)
- Animals -
- Databases, Factual -
- Disease - genetics
- Humans -
- Information Storage and Retrieval - methods
- Internet -
- Knowledge Bases -
- Neoplasms - genetics
- Semantics -
- Vocabulary, Controlled -
- Find related publications in this database (Keywords)
- Semantic web
- Bioinformatics
- Biomedical ontologies
- Data and knowledge integration