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