DocumentCode :
499051
Title :
Concept similarity computation based on ontology
Author :
Zheng, Cheng ; Hu, Zhe ; Shen, Ya-ping
Author_Institution :
Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
Volume :
1
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
165
Lastpage :
169
Abstract :
Finding a good similarity algorithm for the use on ontology is important to some techniques such as semantic retrieval, data mining, ontology translations etc. Similarity computation has special characters when applied in different domains. However after we learned most of the similarity measures based on ontology, we found that most researchers did not deal with these characters. In this paper we work at the similarity computation based on ontology applied in semantic retrieval. We analyze the characters about this application and problems to be improved, and then we propose an improved semantic similarity computation model. At last, we demonstrate the improvement of this model through experiments.
Keywords :
information retrieval; ontologies (artificial intelligence); semantic Web; concept similarity computation; ontology; semantic retrieval; semantic similarity computation model; Computer science; Computer science education; Cybernetics; Electronic mail; Information retrieval; Laboratories; Learning systems; Machine learning; Ontologies; Signal processing algorithms; Concept similarity; Ontology; Semantic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212529
Filename :
5212529
Link To Document :
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