Title :
Building an ontology of cardio-vascular diseases for concept-based information retrieval
Author :
Gedzelman, S. ; Simonet, M. ; Bernhard, D. ; Diallo, G. ; Palmer, P.
Author_Institution :
TIMC Lab., Univ. Joseph Fourier, Grenoble
Abstract :
Word-based information retrieval (IR) suffers from several drawbacks which the semantic Web initiative aims at overcoming through the use of ontologies. The European project Noesis (WWW.noesis-eu.org) is currently developing a concept-based approach to IR with cardio-vascular diseases as an application domain. For this purpose, an ontology of CV diseases had to be built. We present the process of its construction and its possible usages
Keywords :
cardiovascular system; diseases; information retrieval systems; medical information systems; ontologies (artificial intelligence); semantic Web; European project Noesis; cardiovascular diseases; concept-based information retrieval; ontologies; semantic Web; word-based information retrieval; Cardiac disease; Cardiology; Cardiovascular diseases; Indexing; Information retrieval; Natural languages; Ontologies; Terminology; Thesauri; Unified modeling language;
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
DOI :
10.1109/CIC.2005.1588085
