An RDF/OWL knowledge base for query answering and decision support in clinical pharmacogenetics.
Genetic testing for personalizing pharmacotherapy is bound to become an important part of clinical routine. To address associated issues with data management and quality, we are creating a semantic knowledge base for clinical pharmacogenetics. The knowledge base is made up of three components: an expressive ontology formalized in the Web Ontology Language (OWL 2 DL), a Resource Description Framework (RDF) model for capturing detailed results of manual annotation of pharmacogenomic information in drug product labels, and an RDF conversion of relevant biomedical datasets. Our work goes beyond the state of the art in that it makes both automated reasoning as well as query answering as simple as possible, and the reasoning capabilities go beyond the capabilities of previously described ontologies.
Medical University of Vienna, Vienna, Austria.
Matthias
M
Samwald
Robert
R
Freimuth
Joanne S
JS
Luciano
Simon
S
Lin
Robert L
RL
Powers
M Scott
MS
Marshall
Klaus-Peter
KP
Adlassnig
Michel
M
Dumontier
Richard D
RD
Boyce
D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D030541:Databases, Genetic; D062313:Databases, Pharmaceutical; D020000:Decision Support Systems, Clinical; D020407:Internet; D051188:Knowledge Bases; D009323:Natural Language Processing; D010597:Pharmacogenetics / Q000379:methods*; D018511:Systems Integration; D018875:Vocabulary, Controlled