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Beyond the Semantic Web: Fuzzy Logic-Based Web Intelligence

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Book cover Soft Computing in Ontologies and Semantic Web

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 204))

Abstract

World Wide Web search engines have become the most heavily-used online services, with millions of searches performed each day. Their popularity is due, in part, to their ease of use. It is important to note that while the Semantic Web is dissimilar in many ways from the World Wide Web, the Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries through the World Wide Web. In this paper, we would like to go beyond the traditional semantic web which has been defined mostly as a mesh or distributed databases within the World Wide Web.

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References

  • J. Baldwin, Future directions for fuzzy theory with applications to intelligent agents, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 200.

    Google Scholar 

  • J. F. Baldwin and S. K. Morton, conceptual Graphs and Fuzzy Qualifiers in Natural Languages Interfaces, 1985, University of Bristol.

    Google Scholar 

  • M. J. M. Batista et al., User Profiles and Fuzzy Logic in Web Retrieval, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • H. Beremji, Fuzzy Reinforcement Learning and the Internet with Applications in Power Management or wireless Networks, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • T.H. Cao, Fuzzy Conceptual Graphs for the Semantic Web, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • D. Y. Choi, Integration of Document Index with Perception Index and Its Application to Fuzzy Query on the Internet, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • R. Fagin (1998) Fuzzy Queries in Multimedia Database Systems, Proc. ACM Symposium on Principles of Database Systems, pp. 1–10.

    Google Scholar 

  • R. Fagin (1999) Combining fuzzy information from multiple systems. J. Computer and System Sciences 58, pp 83–99.

    Article  MATH  MathSciNet  Google Scholar 

  • K.H.L. Ho, Learning Fuzzy Concepts by Example with Fuzzy Conceptual Graphs. In 1st Australian Conceptual Structures Workshop, 1994. Armidale, Australia.

    Google Scholar 

  • J. H. Holland. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence. MIT Press, 1992. First Published by University of Michigan Press 1975

    Google Scholar 

  • A. Joshi and R. Krishnapuram, Robust Fuzzy Clustering Methods to Support Web Mining, in Proc Workshop in Data Mining and Knowledge Discovery, SIGMOD, pp. 15–1 to 15–8, 1998.

    Google Scholar 

  • M. Kobayashi, K. Takeda, “Information retrieval on the web”, ACM Computing Survey, Vol.32, pp.144–173 (2000)

    Article  Google Scholar 

  • J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, Cambridge, Mass.: MIT Press, USA 1992, 819 pages

    MATH  Google Scholar 

  • R. Krishnapuram et al., A Fuzzy Relative of the K-medoids Algorithm with application to document and Snippet Clustering, in Proceedings of IEEE Intel. Conf. Fuzzy Systems-FUZZIEEE 99, Korea, 1999.

    Google Scholar 

  • V. Loia et al., “Fuzzy Logic an the Internet”, in the Series Studies in Fuzziness and Soft Computing, Physica-Verlag, Springer (August 2003)

    Google Scholar 

  • V. Loia et al., Journal of Soft Computing, Special Issue; fuzzy Logic and the Internet, Springer Verlag, Vol. 6, No. 5; August 2002.

    Google Scholar 

  • T. P. Martin, Searching and smushing on the Semantic Web—Challenges for Soft Computing, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • M. Mizumoto (1989) Pictorial Representations of Fuzzy Connectives, Part I: Cases of Tnorms, T-conorms and Averaging Operators, Fuzzy Sets and Systems 31, pp. 217–242.

    Article  MathSciNet  Google Scholar 

  • M. Nikravesh (2001a) Perception-based information processing and retrieval: application to user profiling, 2001 research summary, EECS, ERL, University of California, Berkeley, BT-BISC Project. (http://zadeh.cs.berkeley.edu/).

    Google Scholar 

  • M. Nikravesh (2001b), BISC and The New Millennium, Perception-based Information Processing, Berkeley Initiative in Soft Computing, Report No. 2001–1-SI, September 2001b.

    Google Scholar 

  • M. Nikravesh (2001c) Credit Scoring for Billions of Financing Deci-sions, Joint 9th IFSA World Congress and 20th NAFIPS International Conference. IFSA/NAFIPS 2001 “Fuzziness and Soft Computing in the New Millenium”, Vancouver, Canada, July 25–28, 2001.

    Google Scholar 

  • M. Nikravesh, B. Azvine, R. Yagar, and Lotfi A. Zadeh (2003) “New Directions in Enhancing the power of the Internet”, Editors:, in the Series Studies in Fuzziness and Soft Computing, Physica-Verlag, Springer (August 2003)

    Google Scholar 

  • M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • M. Nikravesh et al., “Enhancing the Power of the Internet”, in the Series Studies in Fuzziness and Soft Computing, Physica-Verlag, Springer (August 2003) (2003a)

    Google Scholar 

  • M. Nikravesh, et al., Perception-Based Decision processing and Analysis, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M03/21, June 2003 (2003b).

    Google Scholar 

  • M. Nikravesh and D-Y. Choi, Perception-Based Information Processing, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M03/20, June 2003.

    Google Scholar 

  • M. Nikravesh et al., Web Intelligence: Conceptual-Based Model, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M03/19, June 2003 (2003c).

    Google Scholar 

  • M. Nikravesh et al., Fuzzy logic and the Internet (FLINT), Internet, World Wide Web, and Search Engines, Journal of Soft Computing, Special Issue; fuzzy Logic and the Internet, Springer Verlag, Vol. 6, No. 5; August 2002

    Google Scholar 

  • M. Nikravesh, Fuzzy Conceptual-Based Search Engine using Conceptual Semantic Indexing, NAFIPS-FLINT 2002, June 27–29, New Orleans, LA, USA

    Google Scholar 

  • M. Nikravesh and B. Azvine, Fuzzy Queries, Search, and Decision Support System, Journal of Soft Computing, Special Issue fuzzy Logic and the Internet, Springer Verlag, Vol. 6, No. 5; August 2002.

    Google Scholar 

  • S. K. Pal, V. Talwar, and P. Mitra, Web Mining in Soft Computing Framework: Relevance, State of the Art and Future Directions, to be published in IEEE Transcations on Neural Networks, 2002.

    Google Scholar 

  • G. Presser, Fuzzy Personalization, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • E. Sanchez, Fuzzy logic e-motion, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • A. M. G. Serrano, Dialogue-based Approach to Intelligent Assistance on the Web, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • S. Shahrestani, Fuzzy Logic and Network Intrusion Detection, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • T. Takagi, A. Imura, H. Ushida, and T. Yamaguchi, “Conceptual Fuzzy Sets as a Meaning Representation and their Inductive Construction,” International Journal of Intelligent Systems, Vol. 10, 929–945 (1995).

    Article  Google Scholar 

  • T. Takagi, A. Imura, H. Ushida, and T. Yamaguchi, “Multilayered Reasoning by Means of Conceptual Fuzzy Sets,” International Journal of Intelligent Systems, Vol. 11, 97–111 (1996).

    Article  Google Scholar 

  • T. Takagi, S. Kasuya, M. Mukaidono, T. Yamaguchi, and T. Kokubo, “Realization of Sound-scape Agent by the Fusion of Conceptual Fuzzy Sets and Ontology,” 8th International Conference on Fuzzy Systems FUZZ-IEEE'99, II, 801–806 (1999).

    Article  Google Scholar 

  • T. Takagi, S. Kasuya, M. Mukaidono, and T. Yamaguchi, “Conceptual Matching and its Applications to Selection of TV Programs and BGMs,” IEEE International Conference on Systems, Man, and Cybernetics SMC'99, III, 269–273 (1999).

    Article  Google Scholar 

  • T. Takagi, et al., Conceptual Fuzzy Sets as a Meaning Representation and their Inductive Construction, International Journal of Intelligent Systems, Vol. 10, 929–945 (1995).

    Article  Google Scholar 

  • T. Takagi and M. Tajima, Proposal of a Search Engine based on Conceptual Matching of Text Notes, IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2001, S406-(2001a)

    Google Scholar 

  • T. Takagi and M. Tajima, Proposal of a Search Engine based on Conceptual Matching of Text Notes, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001 (2001b).

    Google Scholar 

  • T. Takagi, et al., Exposure of Illegal Website using Conceptual Fuzzy Sets based Information Filtering System, the North American Fuzzy Information Processing Society—The Special Interest Group on Fuzzy Logic and the Internet NAFIPS-FLINT 2002, 327–332 (2002a)

    Google Scholar 

  • T. Takagi, et al., Conceptual Fuzzy Sets-Based Menu Navigation System for Yahoo!, the North American Fuzzy Information Processing Society—The Special Interest Group on Fuzzy Logic and the Internet NAFIPS-FLINT 2002, 274–279 (2002b) Wittgenstein, “Philosophical Investigations,” Basil Blackwell, Oxford (1953).

    Google Scholar 

  • R. Yager, Aggregation Methods for Intelligent Search and Information Fusion, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • J. Yen, Incorporating Fuzzy Ontology of Terms Relations in a Search Engine, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001.

    Google Scholar 

  • L. A. Zadeh, Fuzzy Logic = Computing with Words,” IEEE Trans. on Fuzzy Systems (4), 103–111, 1996.

    Article  Google Scholar 

  • L. A. Zadeh, (1999) From Computing with Numbers to Computing with Words-From Manipulation of Measurements to Manipulation of Perceptions, IEEE Trans. On Circuit and Systems-I Fundamental Theory and Applications, 45(1), Jan 1999, 105–119.

    Article  MathSciNet  Google Scholar 

  • L. A. Zadeh, “A new direction in AI—Toward a computational theory of perceptions”, AI Magazine 22(1): Spring 2001, 73–84, 2001b.

    Google Scholar 

  • L. A. Zadeh, and J. Kacprzyk, (eds.), Computing With Words in Information/Intelligent Systems 1: Foundations, Physica-Verlag, Germany, 1999a.

    MATH  Google Scholar 

  • L. A. Zadeh, L. and J. Kacprzyk (eds.), Computing With Words in Information/Intelligent Systems 2: Applications, Physica-Verlag, Germany, 1999b.

    Google Scholar 

  • L. A. Zadeh, The problem of deduction in an environment of imprecision, uncertainty, and partial truth, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001 (2001).

    Google Scholar 

  • L. A. Zadeh, A Prototype-Centered Approach to Adding Deduction Capability to Search Engines—The Concept of Protoform, BISC Seminar, Feb 7, 2002, UC Berkeley, 2002.

    Google Scholar 

  • L.A. Zadeh, Toward a Perception-based Theory of Probabilistic Reasoning with Imprecise Probabilities, Journal of Statistical Planning and Inference, 105, 233–264, 2002.

    Article  MATH  MathSciNet  Google Scholar 

  • L. A. Zadeh and M. Nikravesh, Perception-Based Intelligent Decision Systems; Office of Naval Research, Summer 2002 Program Review, Covel Commons, University of California, Los Angeles, July 30th-August 1st, 2002.

    Google Scholar 

  • Y. Zhang et al., Granular Fuzzy Web Search Agents, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001 (2001a).

    Google Scholar 

  • Y. Zhang et al., Fuzzy Neural Web Agents for Stock Prediction, in M. Nikravesh and B. Azvine, FLINT 2001, New Directions in Enhancing the Power of the Internet, UC Berkeley Electronics Research Laboratory, Memorandum No. UCB/ERL M01/28, August 2001 (2001b).

    Google Scholar 

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Authors and Affiliations

  1. BISC Program, EECS Department and Imaging and Informatics- Life Sciences Division, Lawrence Berkeley National Lab, University of California, 94720, Berkeley, CA, USA

    Masoud Nikravesh

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  1. Masoud Nikravesh
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Editors and Affiliations

  1. College of Information Science and Engineering, Northeastern University Shenyang, Liaoning, 110004, China

    Zongmin Ma Dr.

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© 2006 Springer

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Nikravesh, M. (2006). Beyond the Semantic Web: Fuzzy Logic-Based Web Intelligence. In: Ma, Z. (eds) Soft Computing in Ontologies and Semantic Web. Studies in Fuzziness and Soft Computing, vol 204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-33473-6_7

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  • DOI: https://doi.org/10.1007/978-3-540-33473-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33472-9

  • Online ISBN: 978-3-540-33473-6

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