Record number :
Title of article :
Ontology driven semantic profiling and retrieval in medical information systems
Author/Authors :
Bhatt، نويسنده , , Mehul and Rahayu، نويسنده , , Wenny and Soni، نويسنده , , Sury Prakash and Wouters، نويسنده , , Carlo، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
From page :
To page :
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 offers advanced profiling of a user’s field of specialization by exploiting the concept of sub-ontology extraction, i.e., each sub-ontology may subsequently represent a particular user profile. Semantic profiling of a user’s field 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 specific parts of the overall knowledge documents on the basis of their area of specialization. The prototypical system, OntoMOVE, has been specifically 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.
Keywords :
e-Health information systems , Semantic contextualization and profiling , Medical information systems , Semantics , Knowledge representation and data models , INTEROPERABILITY , Ontology
Journal title :
Web Semantics Science,Services and Agents on the World Wide Web
Serial Year :
Link To Document :