DocumentCode :
1752987
Title :
A Semantic Web-Based Case Representation and Retrieval
Author :
Gao, Junjie ; Deng, Guishi
Author_Institution :
Inst. of Syst. Eng., Dalian Univ. of Technol.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
4335
Lastpage :
4339
Abstract :
At the basis of analyzing that the semantic Web and CBR can benefit from each other in integrating environment, a novel kind of semantic Web-based case representation and retrieval arithmetic is proposed in this paper. A RDF-based case Web markup language (RCWML) that we define is applied for experience knowledge representation in order to flexibly integrate special case knowledge with general domain ontology and interoperate different cases of different case bases. Relevant case retrieving arithmetic can be more precise through combining the measure of domain ontology-based concept similarity assessment. An application scenario from tooling man-hour rationing in the enterprise wide is introduced to evaluate our methodology
Keywords :
case-based reasoning; hypermedia markup languages; information retrieval; ontologies (artificial intelligence); semantic Web; RDF-based case Web markup language; case-based reasoning; domain ontology-based concept similarity assessment; knowledge representation; semantic Web-based case representation; semantic Web-based case retrieval; Arithmetic; Computer aided software engineering; Gold; Intelligent control; Knowledge representation; Markup languages; Ontologies; Resource description framework; Semantic Web; Systems engineering and theory; Case Retrieval; Case-based Reasoning; Concept Similarity; Domain Ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713194
Filename :
1713194
Link To Document :
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