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 [1] or Web Intelligence. In this paper we describe the Cooperative Web [2] that can be seen as a new proposal towards Web Intelligence. The Cooperative Web 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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)
Gayo-Avello, D., Álvarez-Gutiérrez, D.: The Cooperative Web: A Complement to the Semantic Web. In: Proc. of 26th Annual International Computer Software and Applications Conference, Oxford, England, pp. 179–183 (2002)
Furnas, G.W., Landauer, T.K., Gómez, L.M., Dumais, S.T.: The vocabulary problem in human-system communication. CACM 30(11), 964–971 (1987)
Pinkerton, B.: Finding what people want: Experiences with the WebCrawler. In: Proc. of the Second International World Wide Web Conference, Chicago, IL, USA (1994)
Krovetz, R., Croft, W.B.: Lexical Ambiguity and Information Retrieval. ACM Transactions on Information Systems 10(2), 115–141 (1992)
Berners-Lee, T.: Information Management: A Proposal (1989), http://www.w3.org/History/1989/proposal.html
Koster, M.: ALIWEB: Archie-Like indexing in the Web. Computer Networks and ISDN Systems 27(2), 175–182 (1994)
Mauldin, M.L., Leavitt, J.R.R.: Web agent related research at the Center for Machine Translation. In: Proc. of the ACM Special Interest Group on Networked Information Discovery and Retrieval (ACM-SIGNIDR-V), McLean, VA, USA (1994)
Kleinberg, J.M.: Authoritative Sources in a Hyperlinked Environment. In: Proc. of the 9th Annual ACM-SIAM Symposium on Discrete Algorithms, San Francisco, CA, USA (1998)
Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank Citation Ranking: Bringing Order to the Web. Stanford Digital Libraries Working Paper (1998)
Morita, M., Shinoda, Y.: Information filtering based on user behavior analysis and best match text retrieval. In: Proc. of the 17th Annual International Retrieval, Dublin, Ireland (1994)
Maes, P.: Agents that Reduce Work and Information Overload. CACM 37(7), 811–821 (1994)
Lieberman, H.: Letizia: An Agent That Assists Web Browsing. In: Proc. of the 14th International Joint Conference on Artificial Intelligence, Montreal, QC, Canada (1995)
Starr, B., Ackerman, M.S., Pazzani, M.: Do-I-Care: A Collaborative Web Agent. In: Proc. of the ACM on Human Factors in Computing Systems, Vancouver, Canada, pp. 273–274 (1996)
Balabanovic, M.: An interface for learning multi-topic user profiles from implicit feedback. In: Proc. of AAAI Workshop on Recommender Systems, Madison, WI, USA (1998)
Luke, S., Spector, L., Rager, D.: Ontology-Based Knowledge Discovery on the World-Wide Web. In: Working Notes of the Workshop on Internet-Based Information Systems at the 13th National Conference on Artificial Intelligence (AAAI 1996) (1996)
Craven, M., DiPasquo, D., Freitag, D., McCallum, A., Mitchell, T., Nigam, K., Slattery, S.: Learning to Extract Symbolic Knowledge from the World Wide Web. In: Proc. of the 15th National Conference on Artificial Intelligence (AAAI 1998), Madison, WI, USA (1998)
Fensel, D., Decker, S., Erdmann, M., Studer, R.: Ontobroker: Or How to Enable Intelligent Access to the WWW. In: Proc. of the 11th Workshop on Knowledge Acquisition, Modeling, and Management, Banff, Canada (1998)
Marchiori, M., Saarela, J.: Query + Metadata + Logic = Metalog. In: Proc. of Query Languages Workshop, Boston, MA, USA (1998)
Brickley, D., Miller, L.: RDF: Extending and Querying RSS channels. ILRT discussion document (2000), http://ilrt.org/discovery/2000/ll/rss-query
Decker, S., Brickley, D., Saarela, J., Angele, J.: A Query and Inference Service for RDF. In: Proc. of Query Languages Workshop, Boston, MA, USA (1998)
Karvounarakis, G., Christophides, V., Plexousakis, D., Alexaki, S.: Querying RDF Descriptions for Community Web Portals. In: The French National Conference on Databases, Agadir, Maroc (2001)
Maedche, A., Staab, S.: Discovering Conceptual Relations from Text. Technical Report 399”. Institute AIFB, Karlsruhe University (2000)
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)
Fensel, D.: Ontology-Based Knowledge Management. IEEE Computer 35(11), 56–59 (2002)
Nishida, T.: Social Intelligence Design for the Web. IEEE Computer 35(11), 37–41 (2002)
Han, J., Chang, K.C.-C.: Data Mining for Web Intelligence. IEEE Computer 35(11), 64–70 (2002)
Cercone, N., Hou, L., Keselj, V., An, A., Naruedomkul, K., Hu, X.: From Computational Intelligence to Web Intelligence. IEEE Computer 35(11), 72–76 (2002)
Foltz, P.W.: Using Latent Semantic Indexing for Information Filtering. In: Proc. of the ACM Conference on Office Information Systems, Boston, USA, pp. 40–47 (1990)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gayo-Avello, D., Álvarez-Gutiérrez, D., Gayo-Avello, J. (2003). A Cooperative Paradigm for Fighting Information Overload. In: Yazıcı, A., Şener, C. (eds) Computer and Information Sciences - ISCIS 2003. ISCIS 2003. Lecture Notes in Computer Science, vol 2869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39737-3_29
Download citation
DOI: https://doi.org/10.1007/978-3-540-39737-3_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20409-1
Online ISBN: 978-3-540-39737-3
eBook Packages: Springer Book Archive