Web Intelligence (WI) Research Challenges and Trends in the New Information Age

  • Y. Y. Yao
  • Ning Zhong
  • Jiming Liu
  • Setsuo Ohsuga
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2198)


This paper is about a new research field called Web Intelligence (WI for short). We try to explain the needs for coining the term as a sub-discipline of computer science for systematic studies on advanced Web related theories and technologies, as well as the design and implementation of Intelligent Web Information Systems (IWIS). Background information and related topics are discussed in an attempt to demonstrate why we consider WI to be a subject worthy of study and, at the same time, to establish a starting point for the further development of WI.


Digital Library Intelligent Agent Customer Relationship Management Business Intelligence Semistructured Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Abiteboul, S., Buneman, P., and Suciu, D. Data on the Web, Morgan Kaufmann, 2000.Google Scholar
  2. 2.
    Albert, R., Jeong, H. and Barabasi, A.-L., Diameter of the World-Wide Web, Nature, 410, 130–131, 1999.Google Scholar
  3. 3.
    Barabasi, A.-L. and Albert, R., Emergence of scaling in random networks, Science, 286, 509–512, 1999.CrossRefMathSciNetGoogle Scholar
  4. 4.
    Berners-Lee, T., Hendler, J., and Lassila, O. The semantic Web, Scientific American, 29–37, May 2001.Google Scholar
  5. 5.
    Bezdek, J.C. What is computational intelligence? in: Computational Intelligence: Imitating Life, Zurada, J.M., Marks II, R.J. and Robinson, C.J. (Eds.), IEEE Press, 1–12, 1994.Google Scholar
  6. 6.
    Broder, A., Kumar, R., Maghoul, F., Raghavan, P., Rajagopalan, S., Stata, R., Tomkins, A. and Wiener, J.L. Graph structure in the web, Computer Networks, 33, 309–320, 2000.CrossRefGoogle Scholar
  7. 7.
    Cercone, N. and McCalla, G. (eds.) Computational Intelligence, 1, iii–vi, 1985.Google Scholar
  8. 8.
    Chavez, A. and Maes, P., Kasbah: an agent marketplace for buying and selling goods, Proceedings of the First International Conference on the Practical Application of Intelligent Agents andMulti-A gent Technology (PAAM’96), 1996.Google Scholar
  9. 9.
    Cheung, K. W., Li, C. H., Lam, E. C. M., and Liu, J., Customized electronic commerce with intelligent software agents, in: Internet Commerce and Software Agents-Cases, Technologies and Opportunities, Rahman, S.M. and Bignall, R.J. (Eds.), IDEA Group Publishing, 150–176, 2001.Google Scholar
  10. 10.
    Clearwater, S. (ed.) Market-BasedContr ol: A Paradigm for Distributed Resource Allocation, World Scientific, 1995.Google Scholar
  11. 11.
    Decker, S., Melnik, S. et al. The semantic web: the roles of XML and RDF, IEEE Internet Computing, 4:5, 63–74, 2000.CrossRefGoogle Scholar
  12. 12.
    Decker, S., Mitra, P., and Melnik, S. Framework for the semantic web: an RDF tutorial, IEEE Internet Computing, 4:6, 68–73, 2000.Google Scholar
  13. 13.
    Guttman, R., Moukas, A., and Maes, P., Agent-mediated electronic commerce and consumer buying behavior, Knowledge Engineering Review Journal, 13, June, 1998.Google Scholar
  14. 14.
    Hackathorn, R.D. Web Farming for the Data Warehouse, Morgan Kaufmann, 2000.Google Scholar
  15. 15.
    Hausch, D., Multi-object auctions: sequential vs. simultaneous sales, Management Science, 32, 1599–1610, 1986.zbMATHMathSciNetCrossRefGoogle Scholar
  16. 16.
    Hendler, J.A. Agents and the semantic Web, IEEE Intelligent Systems, 16:2, 30–37, 2001.CrossRefGoogle Scholar
  17. 17.
    Helbing, D., Huberman, B. A., and Maurer, S. M, Optimizing traffic in virtual and real space, in: Traffic and Granular Flow’ 99: Social, Traffic, and Granular Dynamics, Helbing, D., Herrmann, H. J., Schreckenberg, M., and Wolf, D. E. (Eds.), Springer-Verlag, 2000.Google Scholar
  18. 18.
    Hon-Snir, S., Monderer, D. and Sela. A., A learning approach to auctions, Journal of Economic Theory, 8, 65–88, 1998.CrossRefMathSciNetGoogle Scholar
  19. 19.
    Hu, J. and Wellman, M., Online learning about other agents in a dynamic multiagent system, Proceedings of the SecondInternational Conference on Autonomous Agents, 1998.Google Scholar
  20. 20.
    Huberman, B. A. and Adamic, L. A., Growth dynamics of the World-Wide Web, Nature, 410, 131, 1999.Google Scholar
  21. 21.
    Huberman, B. A., Pirolli, P. L. T., Pitkow, J. E., and Lukose, R. M., Strong regularities in World Wide Web surfing, Science, 280, 96–97, 1997.Google Scholar
  22. 22.
    Jennings, N., Faratin, P., Johnson, M., Norman, T., O’Brien, P., and Wiegand, M., Agent-based business process management, International Journal of Cooperative Information Systems, 5, 105–130, 1996.CrossRefGoogle Scholar
  23. 23.
    Kosala, R. and Blockeel, H. Web mining research: a survey, ACM SIGKDD Explorations Newsletter, 2, 1–15, 2000.CrossRefGoogle Scholar
  24. 24.
    Kushmerick, N., Weld, D., Doorenbos, R., Wrapper induction for information extraction, Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI’97), 1997.Google Scholar
  25. 25.
    Ling, C.X. and Li, C. Data mining for direct marketing: problems and solutions, Proceedings of KDD’98, 73–79, 1998.Google Scholar
  26. 26.
    Liu, J. Self-organized intelligence, in: Agent Engineering, Liu, J., Zhong, N., Tang, Y. Y., and Wang, P. S. P. (Eds.), World Scientific, 2001.Google Scholar
  27. 27.
    Liu, J., Autonomous Agents andMultiagent Systems, World Scientific, 2001.Google Scholar
  28. 28.
    Liu, J. and Ye, Y. E-commerce agents: marketplace solutions, security issues, and supply and demand, in: E-Commerce Agents: Marketplace Solutions, Security Issues, and Supply and Demand, Liu, J. and Ye, Y. (Eds.), Springer-Verlag, 2001.Google Scholar
  29. 29.
    Liu, J. and Zhang, S. W., Unveiling the origins of Internet use patterns, Proceedings of INET 2001, The Internet Global Summit, 2001.Google Scholar
  30. 30.
    Liu, J. and Zhong, N. (Eds.) Intelligent Agent Technology: Systems, Methodologies, and Tools, World Scientific, 1999.Google Scholar
  31. 31.
    Liu, J., Zhong, N., Tang, Y.Y., and Wang, P.S.P. (Eds.) Agent Engineering, World Scientific, 2001.Google Scholar
  32. 32.
    Liu, J., Zhong, N., Tang, Y. Y., and Wang, P. S. P., Special Issue on Agent Technology, International Journal of Pattern Recognition andA rtificial Intelligence, World Scientific, 2001.Google Scholar
  33. 33.
    Liu, J., Zhong, N., Tang, Y.Y., and Wang, P.S.P., Introduction to agent engineering, in: Agent Engineering, Liu, J., Zhong, N., Tang, Y.Y., and Wang, P.S.P. (Eds.), World Scientific, 2000.Google Scholar
  34. 34.
    Maes, P., Agents that reduce work and information overload, Communications of the ACM, 37, 31–40, 1994.CrossRefGoogle Scholar
  35. 35.
    Maes, P., Guttman, R., Moukas, A., Agents that buy and sell, Communications of the ACM, 1999.Google Scholar
  36. 36.
    Marr, D. Vision, Freeman, 1982.Google Scholar
  37. 37.
    Rosenschein, J. and Zlotkin, G., Rules of Encounter: Designing Conventions for AutomatedNe gotiation among Computers, MIT Press, 1994.Google Scholar
  38. 38.
    Russell, S. and Norvig, P. Artificial Intelligence, A Modern Approach, Prentice Hall, 1995.Google Scholar
  39. 39.
    Sandholm, T., An implementation of the contract net protocol based on marginal cost calculations, Proceedings of the 11th National Conference on Artificial Intelligence (AAAI’93), 1993.Google Scholar
  40. 40.
    Shardanand, U. and Maes, P., Social information filtering: algorithms for automating ‘Word of Mouth’, Proceedings of the CHI-95 Conference, ACM Press, 1995.Google Scholar
  41. 41.
    Srivastava, J. Cooley, R., Deshpande, M. and Tan, P. Web usage mining: discovery and applications of usage patterns from web data, SIGKDD Explorations, Newsletter of SIGKDD, 1, 12–23, 2000.CrossRefGoogle Scholar
  42. 42.
    Tesauro, G. J. and Kephart, J. O., Foresight-based pricing algorithms in an economy of software agents, Proceedings of the International Conference on Information and Computation Economies, 1998.Google Scholar
  43. 43.
    Yao, Y.Y. and Zhong, N. Mining market value functions for targeted marketing, Proceedings of the 25th IEEE Computer Society International Computer Software and Applic ations Conference (COMPSAC 2001), 2001.Google Scholar
  44. 44.
    Ye, Y., Liu, J., and Moukas, A., Special Issue on Intelligent Agents in E-Commerce, Electronic Commerce Research Journal, Baltzer Science Publishers, The Netherlands, 2001.Google Scholar
  45. 45.
    Ye, Y., Liu, J., and Moukas, A., Agents in electronic commerce, in: Special Issue on Intelligent Agents in Electronic Commerce, Electronic Commerce Research Journal, 2001.Google Scholar
  46. 46.
    Zhong, N. A Study on E-mail Filtering by Uncertainty Sampling and Relation Learning, Technical Report, Yamaguchi University, 2000.Google Scholar
  47. 47.
    Zhong, N. Knowledge discovery and data mining, The Encyclopedia of Microcomputers, 27, Supplement 6, 235–285, Marcel Dekker, 2001.Google Scholar
  48. 48.
    Zhong, N., Dong, J.Z., and Ohsuga, S. Rule discovery by soft induction techniques, Neurocomputing, An International Journal, 36:1-4, 171–204, Elsevier, 2000.Google Scholar
  49. 49.
    Zhong, N., Liu, J., Yao, Y.Y. and Ohsuga, S. Web Intelligence (WI), Proceedings of the 24th IEEE Computer Society International Computer Software andApplications Conference (COMPSAC 2000), 469–470, 2000.Google Scholar
  50. 50.
    Zhong, N., Yao, Y.Y., and Kakemoto, Y. Automatic construction of ontology from text databases, N. Ebecken and C.A. Brebbia (Eds.) Data Mining, 2, WIT Press, 173–180, 2000.Google Scholar
  51. 51.
    Zhong, N., Yao, Y.Y., and Ohsuga, S. Peculiarity oriented multi-database mining, J. Zytkow and Jan Rauch (eds.) Principles of Data Mining and Knowledge Discovery, LNAI 1704, Springer-Verlag, 136–146, 1999.Google Scholar
  52. 52.
    Zurada, J.M., Marks II, R.J. and Robinson, C.J. (Eds.) Computational Intelligence: Imitating Life, IEEE Press, 1994.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Y. Y. Yao
    • 1
  • Ning Zhong
    • 2
  • Jiming Liu
    • 3
  • Setsuo Ohsuga
    • 4
  1. 1.Department of Computer ScienceUniversity of ReginaReginaCanada
  2. 2.Department of Information EngineeringMaebashi Institute of TechnologyJapan
  3. 3.Department of Computer ScienceHong Kong Baptist UniversityHong Kong
  4. 4.Department of Information and Computer ScienceWaseda UniversityJapan

Personalised recommendations