DocumentCode
1929280
Title
Research on Ontology-Based Measuring Semantic Similarity
Author
Guisheng, Yin ; Qiuyan, Sheng
Author_Institution
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
fYear
2008
fDate
28-29 Jan. 2008
Firstpage
250
Lastpage
253
Abstract
Ontology is an explicit specification of a conceptualization on semantic and knowledge. This paper presents a formal definition on ontology and gives an example. Then, a method to measuring semantic similarity is presented. Semantic similarity is divided into concept similarity and description similarity. A calculation of semantic similarity between concepts in ontology is presented by the hierarchy of ontology concepts. To make the calculation of semantic similarity between concepts more similar to human´s subjective judgment, semantic similarity is divided into concept similarity and description similarity; the final semantic similarity is produced by merging concept similarity and description similarity. Finally, the optimized parameter settings are gained through the experiment results.
Keywords
ontologies (artificial intelligence); semantic Web; concept similarity; description similarity; explicit specification; ontology-based measuring semantic similarity; semantic similarity; Computer science; Educational institutions; Information processing; Internet; Knowledge engineering; Libraries; Merging; Ontologies; Search methods; Semantic Web; concept similarity; description similarity; semantic similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3112-0
Electronic_ISBN
978-0-7695-3112-0
Type
conf
DOI
10.1109/ICICSE.2008.42
Filename
4548267
Link To Document