DocumentCode :
2725980
Title :
Study of Concept Similarity Algorithm between Steel Ontologies
Author :
Yu Hu ; Wenjie Li ; Si Liu
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear :
2012
fDate :
6-8 Nov. 2012
Firstpage :
19
Lastpage :
22
Abstract :
Concepts similarity calculation is the basis for ontology mapping. Vocabulary, meaning of the word, property and instance of concepts are the important facts when calculating concepts similarity. All the facts above are combined and a composite method is proposed to calculate concepts similarity in this paper. In order to keep the effectiveness and comprehensiveness of the method, we combine concepts vocabularies matching algorithm, synonyms basing on Word Net matching algorithm, concepts properties and instances similarities. By calculating test data, the experiment result shows that the method can calculate concepts similarity effectively between two steel ontologies.
Keywords :
ontologies (artificial intelligence); vocabulary; word processing; WordNet matching algorithm; composite method; concept similarity algorithm; concept similarity calculation; concept vocabulary matching algorithm; instances similarities; ontology mapping; steel ontologies; synonyms; Educational institutions; Ontologies; Semantic Web; Semantics; Steel; Vocabulary; concept similarity; ontology; semantic distance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering (WCSE), 2012 Third World Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-4546-0
Type :
conf
DOI :
10.1109/WCSE.2012.12
Filename :
6394917
Link To Document :
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