Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2005-03-15
2005-03-15
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C706S012000, C706S014000
Reexamination Certificate
active
06868411
ABSTRACT:
A text categorizer classifies a text object into one or more classes. The text categorizer includes a pre-processing module, a knowledge base, and an approximate reasoning module. The pre-processing module performs feature extraction, feature reduction, and fuzzy set generation to represent an unlabelled text object in terms of one or more fuzzy sets. The approximate reasoning module uses a measured degree of match between the one or more fuzzy set and categories represented by fuzzy rules in the knowledge base to assign labels of those categories that satisfy a selected decision making rule.
REFERENCES:
patent: 5835901 (1998-11-01), Duvoisin et al.
patent: 6483938 (2002-11-01), Hennessey et al.
patent: 6625585 (2003-09-01), MacCuish et al.
patent: 20020065845 (2002-05-01), Naito et al.
patent: 20030046253 (2003-03-01), Shetty et al.
patent: WO 9967728 (1999-12-01), None
Baldwin, J.F., J. Lawry, and T.P. Martin. “Mass assignment fuzzy ID3 with applications”, in Fuzzy Logic: Applications and Future Directions Workshop. London, UK. pp. 278-294. 1997.
Baldwin, J.F., T.P. Martin, and B.W. Pilsworth, “FRIL—Fuzzy and Evidential Reasoning”, in A.I. 1995: Research Studies Press (Wiley Inc.), pp. 185-202.
Baldwin, J.F., “Fuzzy and Probabilistic Uncertainties”, in Encyclopaedia of Al, 2nd ed., Shapiro, Editor. 1995. pp. 528-537. 1992.
Baldwin, J.F., T.P. Martin, and J.G. Shanahan. “Modelling with words using Cartesian granule features”, FUZZ-IEEE. Barcelona, Spain. pp. 1295-1300. 1997.
Bezdek, J.C., “A Physical Interpretation of Fuzzy ISODATA”. IEEE Trans. on System, Man, and Cybernetics, 1976. 6(5): pp. 387-390.
Bordogna, G. and G. Pasi, “Modeling Vagueness in Information Retrieval”, Lectures in Information Retrieval, M. Agosti, F. Crestani, and G. Pasi, Editors. 2000, Springer Verlag: Berlin. p. 207-241, 2000.
Bordogna, et al., “A Linguistic Modeling Of Consensus In Group Decision Making Based On OWA Operators”, IEEE Transactions on Systems, Man and Cybernetics 27, pp. 126-132. 1997.
Cristianini, N. and J. Shawe-Taylor, “An introduction to Support Vector Machines”, 2000, Cambridge, UK: Cambridge University Press. pp. 26-27 and 44-45.
Deerwester, Dumais, Furnas , Landauer, and Harshman, “Indexing By Latent Semantic Analysis” Journal of the American Society for Information Science, 41(6), 391-407, 1990.
Dubois, D. and H. Prade, “Unfair coins and necessary measures: towards a possibilistic interpretation of histograms”. Fuzzy sets and systems, 1983. 10: pp. 15-20.
Manning and Schutze, “Foundations Of Statistical Natural Language Processing”, published in 1999, MIT Press, Cambridge, MA. pp. 81-147.
Porter, M.F., “An algorithm for suffix stripping”. Program, 1980. 14(130-137).
Ruspini, E.H., “A New Approach to Clustering”. Inform. Control, 1969. 15(1): pp. 22-32.
Salton, G., “Automatic text processing”. 1989, Boston: Addison-Wesley. pp. 207-241.
Shanahan, J.G., “Soft computing for knowledge discovery: Introducing Cartesian granule features”. First ed. The international series in engineering and computer science. 2000, Boston: Kluwer Academic Publishers. (Chapters 7,8,9,10).
Sugeno, M. and T. Yasukawa, “A Fuzzy Logic Based Approach to Qualitative Modelling”. IEEE Trans on Fuzzy Systems, 1993. 1(1): pp. 7-31.
Yang, Y. and X. Liu. “A re-examination of text categorization methods”, in Proceedings of SIGIR Conference. 1999.
Hirl Joseph P.
Knight Anthony
Xerox Corporation
LandOfFree
Fuzzy text categorizer does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Fuzzy text categorizer, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Fuzzy text categorizer will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3420895