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