DocumentCode :
2866512
Title :
A Flexible Approach for Ontology Matching
Author :
Yang, Feng ; Liu, Lei
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Ontology matching is the key process of semantic interaction and knowledge sharing. It is the basement of the other semantic web application, such as, semantic web-based service, ontology alignment. The purpose of ontology matching is to reuse the ontologies and integrate them in different fields, so as to implement the bigger pool of information and knowledge for the new communication and application. So far, however, the achievements of (semi-)automatic ontology matching are very limited. Addressing this issue, the work presented in this paper puts forward an ontology matching approach, SGOM. It combines several strategies to take the similarity iterative computation on Change Weights Semantic Graph and utilizes the semantic message of ontology structure to match. For making full use of the message of ontology, our implementation and experimental results are given to demonstrate the effectiveness of the matching approach.
Keywords :
ontologies (artificial intelligence); semantic Web; automatic ontology matching; change weights semantic graph; flexible approach; knowledge sharing; ontology alignment; ontology structure; semantic Web application; semantic Web based service; semantic interaction; similarity iterative computation; Application software; Artificial intelligence; Computer science; Data analysis; Databases; Information analysis; Information systems; Knowledge engineering; Ontologies; Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5366378
Filename :
5366378
Link To Document :
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