A concept similarity computation based on multi-property ontology

Author

Xiquan, Yang ; Xin, Chen ; Na, Jia

Author_Institution

Sch. of Comput. Sci. & Inf. Technol., Northeast Normal Univ. Changchun, Jilin, China

fYear

2010

fDate

23-25 June 2010

Firstpage

538

Lastpage

543

Abstract

In this paper, we propose a method of concept similarity calculation based on multi-property ontology, in which the relationship among properties is established under the evolutionary and taxonomy theory. In order to test the accuracy of our concept similarity calculation, we build a model of the multi-property tea ontology at first. Then, to study the tea ontology properties evolution method, we provide property weight priority algorithms. Finally by comparing our calculating result with that in the other three methods, we safely conclude that our calculating accuracy is extremely high, and the result agree with opinions of tea experts.

Keywords

evolutionary computation; ontologies (artificial intelligence); pattern classification; concept similarity computation; evolutionary theory; multiproperty tea ontology; ontology properties evolution method; property weight priority algorithms; taxonomy theory; Accuracy; Computer architecture; Computer science; Educational institutions; Grid computing; Information technology; Ontologies; Semantic Web; Taxonomy; Testing; concept similarity measure; multi-property feature; tea ontology;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-7324-3

Electronic_ISBN

978-89-88678-22-0

Type

conf

Filename

5542864