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
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||