A New Fuzzy Information Retrieval Method Based on Document Terms Reweighting Techniques

International Journal of Information and Management Sciences

Volumn 14, Issue 4, 2003, Pages 63-82

  Horng, Yih Jen ^a   Chen, Shyi Ming ^b   Lee, Chia Hoang ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Document Descriptor Vectors; Document Terms Reweighting; Fuzzy Information Retrieval; Personal Profile; Relevance Feedback

Indexed keywords

FEEDBACK; INFORMATION RETRIEVAL SYSTEMS; QUERY LANGUAGES; VECTORS;

DOCUMENT DESCRIPTOR VECTORS; DOCUMENT TERMS REWEIGHTING;

FUZZY SETS;

EID: 0345015371     PISSN: 10171819     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. Bordogna, G. and Pasi, G., A user-adaptive neural network supporting a rule-based relevance feedback, Fuzzy Sets and Systems, Vol. 82, No. 2, pp. 201-211, 1996.
2. Buckley, C., The Importance of Proper Weighting Methods in Human Language Technology, edited by M. Bates, CA: Morgan Kaufman, pp. 349-352, 1993.
3. Chan, C. H. and Hsu, C. C., Enabling concept-based relevance feedback for information retrieval on the WWW, IEEE Transactions on Knowledge and Data Engineering, Vol. 11, No. 4, pp. 595-609, 1999.
4. Chen, S. M. and Wang, J. Y., Document retrieval using knowledge-based fuzzy information retrieval techniques, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 25, No. 6, pp. 793-803, 1995.
5. Cornell, G. and Strain, T., Delphi Nuts & Bolts for Experienced Programmers. CA: McGraw-Hill, 1995.
6. Frakes, W. B., Stemming Algorithms in Information Retrieval: Data Structure & Algorithms, edited by W. B. Frakes and R. Baeza-Yates, New Jersey: Prentice Hall, pp.131-160, 1992.
7. Horng, Y. J., Chen, S. M. and Lee, C. H., Fuzzy information retrieval using fuzzy hierarchical clustering and fuzzy inference techniques, Proceedings of the 13th International Conference on Information Management, Taipei, Taiwan, Republic of China, Vol. 1, pp. 215-222, 2002.
8. Horng, Y. J., Chen, S. M. and Lee, C. H., Automatically constructing multi-relationship fuzzy concept networks in fuzzy information retrieval systems, Proceedings of the 10th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, Vol. 2, 2001.
9. Horng, Y. J., Chen, S. M. and Lee, C. H., A new method for fuzzy information retrieval based on document terms reweighting techniques, Proceedings of the Eighth International Conference on Information Management Research, Kaohsiung, Taiwan, Republic of China, pp. 281-288, 2002.
10. Jung, Y., H. Park and Du, D., An Effective Term Weighting Scheme for Information Retrieval, Computer Science Technical Report TR008, Department of Computer Science, University of Minnesota, Minneapolis, Minnesota, pp. 1-15, 2000.
11. Kim, B. M., Kim, J. Y. and Kim, J., Query term expansion and reweighting using term co-occurrence similarity and fuzzy inference, Proceedings of the Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada, Vol. 2, pp. 715-720, 2001.
12. Lee, H. M., Lin, S. K. and Huang, C. W., Interactive query expansion based on fuzzy association thesaurus for web information retrieval, Proceedings of the 10th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, Vol. 2, 2001.
13. Miyamoto, S., Information retrieval based on fuzzy associations, Fuzzy Sets and Systems, Vol. 38, pp. 191-205, 1990.
14. Miyamoto, S., Fuzzy Sets in Information Retrieval and Cluster Analysis, Netherlands: Kluwer Academic Publishers, 1990.
15. Salton, G., The SMART Retrieval System: Experiments in Automatic Document Processing, New Jersey: Prentice Hall, 1971.
16. Salton, G. and Buckley, C., Term-weighting approaches in automatic text retrieval, Information Processing and Management, Vol. 24, No. 5, pp. 513-523, 1988.
17. Salton, G. and Mcgill, M. J., Introduction to Modern Information Retrieval. New York: McGraw-Hill, 1983.
18. Singhal, A., Buckley, C. and Mitra M., Pivoted document length normalization, Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Zurich, Switzerland, pp. 21-29, 1996.
19. Zadeh, L. A., Fuzzy sets, Information and Control, Vol. 8, pp. 338-353, 1965.
20. A Subset of the Collection of the Research Reports of the National Science Council, Taiwan, R.O.C. http://fuzzylab.et.ntust.edu.tw/NSC-Report_Database/247documents.html (Data Source: http://sticnet.stic.gov.tw/sticweb/html/index.htm).