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2007 31st Annual International Computer Software and Applications Conference
Ontology Learning by Clustering Based on Fuzzy Formal Concept Analysis
Beijing, China
July 24-July 27
ISBN: 0-7695-2870-8
| ASCII Text | x | ||
| Wen ZHOU, Zong-tian LIU, Yan ZHAO, "Ontology Learning by Clustering Based on Fuzzy Formal Concept Analysis," 2012 IEEE 36th Annual Computer Software and Applications Conference, vol. 1, pp. 204-210, 2007 31st Annual International Computer Software and Applications Conference, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/COMPSAC.2007.161, author = {Wen ZHOU and Zong-tian LIU and Yan ZHAO}, title = {Ontology Learning by Clustering Based on Fuzzy Formal Concept Analysis}, journal ={2012 IEEE 36th Annual Computer Software and Applications Conference}, volume = {1}, year = {2007}, issn = {0730-3157}, pages = {204-210}, doi = {http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2007.161}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 36th Annual Computer Software and Applications Conference TI - Ontology Learning by Clustering Based on Fuzzy Formal Concept Analysis SN - 0730-3157 SP204 EP210 A1 - Wen ZHOU, A1 - Zong-tian LIU, A1 - Yan ZHAO, PY - 2007 KW - null VL - 1 JA - 2012 IEEE 36th Annual Computer Software and Applications Conference ER - | |||
Ontology is an important tool of knowledge representation, but its construction is a difficult and tedious task. Ontology constructed by formal concept analysis is quite complicated in terms of the number of concepts generated and can not deal with the vague and uncertain information in practice. A new method is developed to create fuzzy ontology by clustering on Fuzzy Formal Concept Analysis. In the end, experimental results on artificially generated datasets are produced which shows that the learning algorithm has excellent performance on the time-spatial complexity.
Citation:
Wen ZHOU, Zong-tian LIU, Yan ZHAO, "Ontology Learning by Clustering Based on Fuzzy Formal Concept Analysis," compsac, vol. 1, pp.204-210, 2007 31st Annual International Computer Software and Applications Conference, 2007
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