Concept similarity computation based on ontology

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 ba...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 1; pp. 165 - 169
Main Authors Cheng Zheng, Zhe Hu, Ya-Ping Shen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Computer science
Computer science education
Concept similarity
Cybernetics
Electronic mail
Information retrieval
Laboratories
Learning systems
Machine learning
Ontologies
Ontology
Semantic
Signal processing algorithms
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ISBN9781424437023
1424437024
ISSN2160-133X
DOI10.1109/ICMLC.2009.5212529

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Summary: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.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212529