DocumentCode :
2766700
Title :
Analysis of Semantic Heterogeneity Using a New Ontological Structure Based on Description Logics
Author :
Wang, Hongwei ; Liu, James N K
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
Volume :
7
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
216
Lastpage :
221
Abstract :
Every information system has its own domain model for its environment and efficient task operations, which results in diverse heterogeneity, especially the semantic heterogeneity. Ontology is an agreement about shared conceptualizations, which can make the meaning of the different vocabularies used explicit, and so the semantics of diverse information systems can be captured by ontology-definitions of terms. This paper constructs an ontological structure using description logic, divides the types of heterogeneity of information system into two categories from the ontological view: conceptualization conflict and term assignment conflict, and analyses approaches to solve conflict by ontology mapping. Finally, this paper construct semantic-oriented integration architecture for heterogeneous systems based on ontology mapping, and discusses data request and response under the architecture, and proposes five rules for data search.
Keywords :
ontologies (artificial intelligence); software architecture; conceptualization conflict; description logics; ontological structure; ontology mapping; semantic heterogeneity; semantic-oriented integration architecture; term assignment conflict; Computer architecture; Conference management; Data models; Environmental economics; Fuzzy logic; Fuzzy systems; Information analysis; Information systems; Ontologies; XML; description logics; ontological structrure; semantic heterogeneity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.528
Filename :
5359985
Link To Document :
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