DocumentCode :
3457893
Title :
Ontology Matching Approach Based on Multi-Strategy Combined
Author :
Yang, Feng ; Gao, Yanhua ; Liu, Lei
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
789
Lastpage :
792
Abstract :
The purpose of ontology matching is to reuse the ontologies and integrate them in different fields, so as to implement the more bigger pool of information and knowledge to the new communication and application. The achievements of (semi-)automatic ontology matching are very limited. There are many works to do in about this field. Under the background, an ontology matching approach, SGOM, is put forward. It combines several strategies and has element-level matching, as well as structure-level matching. It carries on the ontology matching by using the semantic information. Our implementation and experimental results are given to demonstrate the effectiveness of the matching approach.
Keywords :
knowledge representation languages; ontologies (artificial intelligence); pattern matching; semantic Web; SGOM; element-level matching; multistrategy combined; ontology matching approach; semantic information; structure-level matching; Artificial intelligence; Computational efficiency; Computer science; Data mining; Interference; Libraries; OWL; Ontologies; Terminology; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
Type :
conf
DOI :
10.1109/ICICIC.2009.284
Filename :
5412418
Link To Document :
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