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The Cooperative Web: A Step towards Web Intelligence

  • Daniel Gayo-Avello
  • Darío Álvarez-Gutiérrez
  • Agustín Cernuda-del-Río
  • José Gayo-Avello
  • Luis Vinuesa-Martínez
  • Néstor García-Fernández
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2722)

Abstract

The Web is mainly processed by humans. The role of the machines is just to transmit and display the contents of the documents, barely being able to do something else. Nowadays there are lots of initiatives trying to change this situation; many of them are related to fields like the Semantic Web or Web Intelligence. This paper describes a new proposal towards Web Intelligence: the Cooperative Web, which would allow us to extract semantics from the Web in an automatic way, without the need of ontological artifacts, with language independence and, besides of this, allowing the usage of browsing experience from individual users to serve the whole community of users.

Keywords

Information Retrieval Utility Level Collaborative Filter Latent Semantic Indexing Dimensionality Reduction Algorithm 
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.

References

  1. 1.
    Berners-Lee, T.: Information Management: A Proposal http://www.w3.org/History/1989/proposal.html (1989)Google Scholar
  2. 2.
    Furnas, G.W., Landauer, T.K., Gómez, L.M., Dumais, S.T.: The vocabulary problem in human-system communication. CACM, Vol. 30, No. 11 (1987) 964–971Google Scholar
  3. 3.
    Pinkerton, B.: Finding what people want: Experiences with the WebCrawler. Proc. of the Second International World Wide Web Conference. Chicago, IL, USA (1994)Google Scholar
  4. 4.
    Krovetz, R., Croft, W.B.: Lexical Ambiguity and Information Retrieval. ACM Transactions on Information Systems, Vol. 10, No. 2 (1992) 115–141CrossRefGoogle Scholar
  5. 5.
    Luke, S., Spector, L., Rager, D.: Ontology-Based Knowledge Discovery on the World-Wide Web. Working Notes of the Workshop on Internet-Based Information Systems at the 13th National Conference on Artificial Intelligence (AAAI96) (1996)Google Scholar
  6. 6.
    Fensel, D., Decker, S., Erdmann, M., Studer, R.: Ontobroker: Or How to Enable Intelligent Access to the WWW. Proc. of the 11th Workshop on Knowledge Acquisition, Modeling, and Management. Banff, Canada (1998)Google Scholar
  7. 7.
    Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American, 284(5) (2001) 34–43CrossRefGoogle Scholar
  8. 8.
    Brickley, D., Miller, L.: RDF: Extending and Querying RSS channels. ILRT discussion document. http://ilrt.org/discovery/2000/11/rss-query/ (2000)Google Scholar
  9. 9.
    Karvounarakis, G, Christophides, V., Plexousakis, D., Alexaki, S.: Querying RDF Descriptions for Community Web Portals. The French National Conference on Databases. Agadir, Maroc (2001)Google Scholar
  10. 10.
    Maedche, A., Staab, S.: Discovering Conceptual Relations from Text. Technical Report 399”. Institute AIFB, Karlsruhe University (2000)Google Scholar
  11. 11.
    Erdmann, M., Maedche, A., Scnurr, H.P., Staab, S.: From Manual to Semi-automatic Semantic Annotation: About Ontology-based Text Annotation Tools. ETAI Journal-Section on Semantic Web (Linköping Electronic Articles in Computer and Information Science), 6 (2001)Google Scholar
  12. 12.
    Foltz, P.W.: Using Latent Semantic Indexing for Information Filtering. Proc. of the ACM Conference on Office Information Systems. Boston, USA (1990) 40–47Google Scholar
  13. 13.
    Karypis, G., Han, E.: Concept indexing: A fast dimensionality reduction algorithm with applications to document retrieval and categorization. Technical Report TR-00-0016. University of Minnesota (2000)Google Scholar
  14. 14.
    Nishida, T.: Social Intelligence Design for the Web. IEEE Computer, IEEE Computer Society, Washington, D.C., 35(11) (2002) 37–41Google Scholar
  15. 15.
    Han, J., Chang, K.C.-C.: Data Mining for Web Intelligence. IEEE Computer, IEEE Computer Society, Washington, D.C., 35(11) (2002) 64–70Google Scholar
  16. 16.
    Cercone, N., Hou, L., Keselj, V., An, A., Naruedomkul, K., Hu, X.: From Computational Intelligence to Web Intelligence. IEEE Computer, IEEE Computer Society, Washington, D.C., 35(11) (2002) 72–76Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Daniel Gayo-Avello
    • 1
  • Darío Álvarez-Gutiérrez
    • 1
  • Agustín Cernuda-del-Río
    • 1
  • José Gayo-Avello
    • 1
  • Luis Vinuesa-Martínez
    • 1
  • Néstor García-Fernández
    • 1
  1. 1.Department of InformaticsUniversity of OviedoOviedoSpain

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