DocumentCode
2243115
Title
Semantic similarity calculation method in ontology mapping
Author
Bin Ye ; Hongyu Chai ; Weiping He ; Xiaoting Wang ; Guangwei Song
Author_Institution
Coll. of Manage., Shenzhen Univ., Shenzhen, China
fYear
2012
fDate
Oct. 30 2012-Nov. 1 2012
Firstpage
1259
Lastpage
1262
Abstract
In the view of semantic heterogeneity among ontologies, this paper presents a semantic similarity calculation method based on the grammar itself and the structure of concept in order to achieve inter-ontology mapping efficiently and gives an example to validate the mapping process. The results show that the algorithm can get semantic similarity between the two concepts in different ontologies and find the mapping relationship. The mapping method can help solve the problems of semantic heterogeneity, strengthen interoperability between ontologies, and contribute to the standardization establishment of knowledge systems.
Keywords
grammars; ontologies (artificial intelligence); open systems; programming language semantics; concept structure; grammar; inter-ontology mapping; interoperability; knowledge systems; mapping relationship; semantic heterogeneity; semantic similarity calculation method; Computers; Educational institutions; Grammar; Knowledge based systems; OWL; Ontologies; Semantics; Semantic similarity; ontology; ontology mapping; semantic heterogeneity;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-1855-6
Type
conf
DOI
10.1109/CCIS.2012.6664586
Filename
6664586
Link To Document