DocumentCode :
3132678
Title :
Research on concept semantic similarity computation based on ontology
Author :
Yu, Wen ; Chun-ming, Gao ; Hua-Wei, Pan
Author_Institution :
Inf. Sci. & Eng. Inst., Hunan Univ., Changsha, China
Volume :
2
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
284
Lastpage :
287
Abstract :
The current concept semantic similarity calculation based on ontology does not take full advantage of the concept semantic information. In this paper we will present a new concept semantic similarity algorithm deviding the concept similarity into two parts: one is concept name similarity calculation, concept name degree and concept name edit distance calculation. The other is concept property similarity calculation, concept object property and data property calculation. Thus we obtain the actual similarity of the ontology concept according to an integrated analysis. The experimental results indicate that, compared with other similarity algorithms, this method can make full use of concept semantic information, and can obtain a better match result.
Keywords :
ontologies (artificial intelligence); pattern matching; vocabulary; concept name edit distance calculation; concept object property; concept semantic similarity computation; data property calculation; ontology concept; Algorithm design and analysis; Decision support systems; Information theory; Ontologies; Semantics; Statistical learning; Concept name similarity; Concept property similarity; Name edit distance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9599-3
Type :
conf
DOI :
10.1109/CCIENG.2011.6008120
Filename :
6008120
Link To Document :
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