DocumentCode :
2278588
Title :
Ontology-Based Research on Heterogeneous Database Semantic Integration Strategies
Author :
Tao, Jin-Yong ; Juan, Qu-Feng ; Juan, Wang-Hui
Author_Institution :
Comput. Sci. & Eng. Dept., North China Inst. of Aerosp. Eng., Langfang, China
Volume :
3
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
477
Lastpage :
480
Abstract :
Semantic integration is a key technology of heterogeneous database interoperation at present. This article proposes a method of building heterogeneous database integration framework which is fairly complete and based on ontology by the advantage of ontology semantic integration. The article puts forward semantic mapping approach based on semantic similarity of the concept name, property type and instance similarity to focus on solving the mapping problem of the semantic integration.
Keywords :
distributed databases; ontologies (artificial intelligence); open systems; semantic networks; heterogeneous database integration framework; heterogeneous database interoperation; heterogeneous database semantic integration strategy; ontology semantic integration; ontology-based research; semantic mapping approach; semantic similarity; Computer science; Computer science education; Data engineering; Data models; Databases; Educational technology; Ontologies; Thesauri; Uncertainty; Vocabulary; Heterogeneous Database; Ontology; semantic integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
Type :
conf
DOI :
10.1109/ETCS.2010.535
Filename :
5458641
Link To Document :
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