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Towards Human-Level Web Intelligence

  • Conference paper
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3642))

Abstract

The concept of Web Intelligence (WI for short) was first introduced in our papers and books [4,13,16,17,19]. Broadly speaking, Web Intelligence is a new direction for scientific research and development that explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-empowered systems, services, and environments. The WI technologies revolutionize the way in which information is gathered, stored, processed, presented, shared, and used by virtualization, globalization, standardization, personalization, and portals.

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References

  1. Hu, J., Zhong, N.: Organizing Dynamic Multi-level Workflows on Multi-layer Grids for e-Business Portals Development. In: Proc. 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE 2005), pp. 196–201. IEEE Press, Los Alamitos (2005)

    Google Scholar 

  2. Laird, J.E., van Lent, M.: Human-Level AI’s Killer Application Interactive Computer Games. AI Magazine, 15–25 (Summer 2001)

    Google Scholar 

  3. Liu, J., Zhong, N., Yao, Y.Y., Ras, Z.W.: The Wisdom Web: New Challenges for Web Intelligence (WI). Journal of Intelligent Information Systems 20(1), 5–9 (2003)

    Article  Google Scholar 

  4. Liu, J.: Web Intelligence (WI): What Makes Wisdom Web? In: Proc. Eighteenth International Joint Conference on Artificial Intelligence (IJCAI 2003), pp. 1596–1601 (2003)

    Google Scholar 

  5. Liu, J., Jin, X., Tang, Y.: Multi-agent Collaborative Service and Distributed Problem Solving. Cognitive Systems Research 5(3), 191–206 (2004)

    Article  Google Scholar 

  6. McCarthy, J.: Roads to Human Level AI? Keynote Talk at Beijing University of Technology, Beijing, China (September 2004)

    Google Scholar 

  7. Mitchell, T.M., Hutchinson, R., Just, M., Niculescu, R.S., Pereira, F., Wang, X.: Classifying Instantaneous Cognitive States from fMRI Data. In: Proc. American Medical Informatics Association Annual Symposium, pp. 465–469 (2003)

    Google Scholar 

  8. Newell, A., Simon, H.A.: Human Problem Solving. Prentice-Hall, Englewood Cliffs (1972)

    Google Scholar 

  9. Sternberg, R.J., Lautrey, J., Lubart, T.I.: Models of Intelligence. American Psychological Association, Hyattsville (2003)

    Google Scholar 

  10. Su, Y., Zheng, L., Zhong, N., Liu, C., Liu, J.: Distributed Reasoning Based on Problem Solver Markup Language (PSML): A Demonstration through Extended OWL. In: Proc. 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE 2005), pp. 208–213. IEEE Press, Los Alamitos (2005)

    Google Scholar 

  11. Tomita, K., Zhong, N., Yamauchi, H.: Coupling Global Semantic Web with Local Information Sources for Problem Solving. In: Proc. First International Workshop on Semantic Web Mining and Reasoning (SWMR 2004), pp. 66–74 (2004)

    Google Scholar 

  12. Turing, A.: Computing Machinery and Intelligence. Mind LIX(236), 433–460 (1950)

    Article  MathSciNet  Google Scholar 

  13. Yao, Y.Y., Zhong, N., Liu, J., Ohsuga, S.: Web Intelligence (WI): Research Challenges and Trends in the New Information Age. In: Zhong, N., Yao, Y., Ohsuga, S., Liu, J. (eds.) WI 2001. LNCS (LNAI), vol. 2198, pp. 1–17. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  14. Yao, Y.Y.: Web Intelligence: New Frontiers of Exploration. In: Proc. 2005 International Conference on Active Media Technology (AMT 2005), pp. 1–6 (2005)

    Google Scholar 

  15. Zadeh, L.A.: Precisiated Natural Language (PNL). AI Magazine 25(3), 74–91 (Fall 2004)

    Google Scholar 

  16. Zhong, N., Liu, J., Yao, Y.Y., Ohsuga, S.: Web Intelligence (WI). In: Proc. 24th IEEE Computer Society International Computer Software and Applications Conference (COMPSAC 2000), pp. 469–470. IEEE Press, Los Alamitos (2000)

    Google Scholar 

  17. Zhong, N.: Representation and Construction of Ontologies for Web Intelligence. International Journal of Foundations of Computer Science 13(4), 555–570 (2002)

    Article  MATH  Google Scholar 

  18. Zhong, N., Liu, J., Yao, Y.Y.: In Search of the Wisdom Web. IEEE Computer 35(11), 27–31 (2002)

    Google Scholar 

  19. Zhong, N., Liu, J., Yao, Y.Y. (eds.): Web Intelligence. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  20. Zhong, N.: Developing Intelligent Portals by Using WI Technologies. In: Li, J.P., et al. (eds.) Wavelet Analysis and Its Applications, and Active Media Technology, vol. 2, pp. 555–567. World Scientific, Singapore (2004)

    Google Scholar 

  21. Zhong, N., Wu, J.L., Nakamaru, A., Ohshima, M., Mizuhara, H.: Peculiarity Oriented fMRI Brain Data Analysis for Studying Human Multi-Perception Mechanism. Cognitive Systems Research 5(3), 241–256 (2004)

    Article  Google Scholar 

  22. Zhong, N., Hu, J., Motomura, S., Wu, J.L., Liu, C.: Building a Data Mining Grid for Multiple Human Brain Data Analysis. Computational Intelligence 21(2), 177–196 (2005)

    Article  MathSciNet  Google Scholar 

  23. Zhong, N., Motomura, S., Wu, J.L.: Peculiarity Oriented Multi-Aspect Brain Data Analysis for Studying Human Multi-Perception Mechanism. In: Proc. SAINT 2005 Workshops (Workshop 8: Computer Intelligence for Exabyte Scale Data Explosion), pp. 306–309. IEEE Computer Society Press, Los Alamitos (2005)

    Google Scholar 

  24. Zhong, N., Liu, J., Yao, Y.Y., Wu, J.: Web Intelligence (WI) Meets Brain Informatics (BI). In: Proc. First International Conference on Complex Medical Engineering, CME 2005 (2005)

    Google Scholar 

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Author information

Authors and Affiliations

  1. The International WIC Institute & Department of Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

Authors
  1. Ning Zhong
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, SK, S4S 0A2 Canada, Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, P.O. Box, Poland

    Dominik Ślęzak

  2. Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada

    JingTao Yao  & Wojciech Ziarko  & 

  3. Department of Electrical and Computer Engineering, University of Manitoba, R3T 5V6, Winnipeg, Manitoba, Canada

    James F. Peters

  4. College of Computer and Information Engineering, Hehan University, Henan, China

    Xiaohua Hu

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhong, N. (2005). Towards Human-Level Web Intelligence. In: Ślęzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548706_3

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  • DOI: https://doi.org/10.1007/11548706_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28660-8

  • Online ISBN: 978-3-540-31824-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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