[BibTeX] [RIS]
Ontology Driven Semantic Profiling and Retrieval in Medical Information Systems
Type of publication: Article
Citation: Bhatt-jws09
Journal: Journal of Web Semantics, Science, Services and Agents on the World Wide Web (JWS)
Volume: 7
Number: 4
Year: 2009
Pages: 317-331
ISSN: 1570-8268
DOI: 10.1016/j.websem.2009.05.004
Abstract: We propose the application of a novel sub-ontology extraction methodology for achieving interoperability and improving the semantic validity of information retrieval in the Medical Information Systems (MIS) domain. The system o ers advanced pro ling of a user's eld of specialization by exploiting the concept of sub-ontology extraction, i.e., each sub-ontology may subsequently represent a particular user pro le. Semantic pro ling of a user's eld of specialization or interest is necessary functionality in any medical domain information retrieval system; this is because the (structural and semantic) extent of information sources is massive and individual users are only likely to be interested in speci c parts of the overall knowledge documents on the basis of their area of specialization. The prototypical system, OntoMove, has been speci cally designed for application in the Medical Information Systems domain. OntoMove utilizes semantic web standards like RDF(S) and OWL in addition to medical domain standards and vocabularies encompassed by the UMLS Knowledge Sources.
Userfields: bdsk-url-1={http://dx.doi.org/10.1016/j.websem.2009.05.004}, project={cosy}, status={Reviewed},
Keywords: ontology semantics knowledge-representation interoperability profiling
Authors Bhatt, Mehul
Rahayu, Wenny
Soni, Sury
Wouters, Carlo