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