Fuzzy Ontology Models Based on Fuzzy Linguistic Variable for Knowledge Management and Information Retrieval-Reference-Cited by-同舟云学术

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Fuzzy Ontology Models Based on Fuzzy Linguistic Variable for Knowledge Management and Information Retrieval

Published: Issue: Volume: Page:58-67
ISSN:1571-5736
Container-title:IFIP – The International Federation for Information Processing
language:
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Author:

Zhai Jun,Liang Yiduo,Jiang Jiatao,Yu Yi

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-0-387-87685-6_9.pdf

Reference11 articles.

1. Fensel D., F. van Harmelen, Horrocks I., D.L.McGuinness, and Patel-Schneider P. F., “OIL: an ontology infrastructure for the semantic web”, IEEE Intelligent Systems, vol. 16 , no. 2, 2001, p. 38–45.

2. Widyantoro D. H., Yen J., “A fuzzy ontology-based abstract search engine and its user studies”, in: Proceedings of the 10th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, 2001, p. 1291–1294.

3. Lee C. S., Jian Z. W., and Huang L. K., “A fuzzy ontology and its application to news summarization”, IEEE Transactions on Systems, Man and Cybernetics (Part B), vol. 35, no. 5, 2005, p. 859–880.

4. Tho Q. T., Hui S. C., Fong A. C. M., and Cao T. H., “Automatic fuzzy ontology generation for semantic web”, IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 6, 2006, p. 842–856.

5. Abulaish M., Dey L., “A fuzzy ontology generation framework for handling uncertainties and nonuniformity in domain knowledge description”, in: Proceedings of 2007 International Conference on Computing: Theory and Applications, Kolkata, 2007, p. 287–293.

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