A Fuzzy linguistic multi-agent model based on Semantic Web technologies

Herrera-Viedma, Enrique and Peis, Eduardo and Morales-del-Castillo, José-Manuel . A Fuzzy linguistic multi-agent model based on Semantic Web technologies., 2006 In: UNSPECIFIED, (ed.) Soft Computing in Web Information Retrieval : Models and Applications. UNSPECIFIED, pp. 105-120. [Book chapter]


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English abstract

The Internet harbours a vast amount of information that does not cease to grow exponentially. To avoid arriving to a situation of collapse, the actual model of Web needs to incorporate tools capable to handle and manage efficiently this huge quantity of resources. The solutions that exist nowadays are shown little efficient since they oblige users to lose great part of their time in deciding which docu-ments are relevant and which not. Therefore it is becoming necessary to develop systems for searching and mining the Web that allow to improve the access to the information in an efficient way. At this moment, some of the more recurrent tech-nologies to face this problem deal with the development of intelligent software agents, the application of techniques of information filtering, and the development of the Semantic Web project.

Item type: Book chapter
Keywords: Semantic Web, Fuzzy linguistic techniques, Multi-agent systems
Subjects: L. Information technology and library technology > LP. Intelligent agents.
L. Information technology and library technology
Depositing user: José Manuel Morales-del-Castillo
Date deposited: 21 Jun 2009
Last modified: 02 Oct 2014 12:14
URI: http://hdl.handle.net/10760/13199


C. Basu, H. Hirsh, W. Cohen, Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (1998) , 714-720

D. Beckett, RDF/XML Syntax Specification (Revised). W3C Recommendation. (10 February 2004). Available at http://www.w3.org/TR/rdf-syntax-grammar/. Accessed 02/19/2005

T. Berners-Lee, Semantic Web Road map (1998). Available at http://www.w3.org/DesignIssues/Semantic.html. Accessed 02/15/2005

T. Berners-Lee, Semantic Web - XML2000 (2000). Available at http://www.w3.org/2000/Talks/1206-xml2k-tbl/. Accessed 02/13/2005

T. Berners-Lee, J. Hendler, O. Lassila, The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities, Scien-tific American May (2001)

D. Bolchini, E.S.K. Yu, Modeling user requirements for Web application design, Stud-ies in Communication Sciences 4 (2) (2004), 173-196

W. Brenner, R. Zarnekow, H. Witting, Intelligent Software Agent, Foundations and Applications, (Springer-Verlag. Berlin Heidelberg, 1998)

Y.A. Bishr, H. Pundt, W. Kuhn, M. Radwan, Probing the concept of information com-munities: a first step toward semantic interoperability. In M. Goodchild, M. Egen-Hofer, R. Fegeas, C. Kottman (eds), Interoperating Geographic Information Systems, (Kluwer Academic, 1999), 55–69

M. Claypool, A. Gokhale, T. Miranda, Combining content-based and collaborative fil-ters in an online newspaper. In Proceedings of the ACM SIGIR Workshop on Recom-mender Systems-Implementation and Evaluation (1999)

M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martín-Bautista, M.A Vila, Combin-ing linguistic information in a distributed intelligent agent model for information gath-ering on the Internet. In P.P. Wang (ed), Computing with Word, (John Wiley & Son, 2001), 251-276

M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martín-Bautista, L. Martínez, M.A. Vila, A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet, Soft Computing 6 (2002), 320-328

Esperonto Project. Available at http://esperonto.semanticweb.org. Accessed 02/21/2005

B. Fazlollahi, R.M. Vahidov, R.A. Aliev, Multi-agent distributed intelligent system based on fuzzy decision making, International Journal of Intelligent Systems 15 (2000), 849-858

J. Ferber, Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence (Addison-Wesley Longman, New York, 1999)

N. Good, J.B. Shafer, J.A. Konstan, A. Borchers, B.M. Sarwar, J.L. Herlocker, J. Riedl, Combining collaborative filtering with personal agents for better recommendations. In Proceedings of the Sixteenth National Conference on Artificial Intelligence (1999), 439-446.

T.R. Gruber, Toward principles for the design of ontologies used for knowledge shar-ing. In International Journal of Human-Computer Studies 43 (5-6) (1995), 907-928

N. Guarino, Formal ontology and information systems. In N. Guarino (ed) Formal On-tology in Information Systems, Proceedings of FOIS’98. Trento (Italy), (IOS Press, Amsterdam, 1998), 3–17.

R. Guha, R. McCool, E. Miller, Semantic search. 12th International World Wide Web Conference 2003 (WWW2003), Budapest (Hungary), (2003) 700 – 709

J. Hendler, Is there an intelligent agent in your future? (1999). Available at http://www.nature.com/nature/webmatters/agents/agents.html. Accessed 02/20/2005

J. Hendler, Agents and the Semantic Web, IEEE Intelligent Systems, March, April (2001), 30-37

F. Herrera, E. Herrera-Viedma, J.L. Verdegay, A model of Consensus in Group Deci-sion Problems under Linguistic Assessments, Fuzzy Sets and Systems 78 (1996), 73-87

F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Direct Approach Processes in Group Decision Making using Linguistic OWA operators, Fuzzy Sets and Systems 79 (1996), 175-190.

E. Herrera-Viedma, Modelling the Retrieval Process of an Information Retrieval Sys-tem Using an Ordinal Fuzzy Linguistic Approach, Journal of the American Society for Information Science and Technology (JASIST) 52 (6) (2001), 460-475

E. Herrera-Viedma, E. Peis, Evaluating the informative quality of documents in SGML format using fuzzy linguistic techniques based on computing with words, Information Processing and Management 39 (2) (2003), 195-213

E. Herrera-Viedma, F. Herrera, L. Martínez, J.C. Herrera, A.G. López, Incorporating Filtering Techniques in a Fuzzy Multi-Agent Model for Gathering of Information on the Web, Fuzzy Sets and Systems 148 (1) (2004), 61-83

N. Jennings, K. Sycara, M. Wooldridge, A roadmap of agent research and develop-ment, Autonomous Agents and Multi-Agents Systems 1 (1998), 7-38

P. Maes, Agents that reduce the work and information overload, Communications of the ACM, 37 (7) (1994), 30-40

D.L. McGuinness, F. van Harmelen, OWL Web Ontology Language Overview. W3C Recommendation. 10 February 2004, (2004). Available at http://www.w3.org/TR/2004/REC-owl-features-20040210/. Accessed 02/16/2005

A. Moukas, G. Zacharia, P. Maes, Amalthaea and Histos: Multiagent systems for WWW sites and representation recommendations. In M. Klusch (ed), Intelligent In-formation Agents (Springer-Verlag, 1999), 293-322

Ontoknowledge Project. Available at http://www.ontoknowledge.org/. Accessed 02/18/2005

A. Popescul, L.H. Ungar, D.M. Pennock, S. Lawrence, Probabilistic models for uni-fied-collaborative and content-based recommendation in sparse-data environments, Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI), San Francisco (2001), 437-444

P. Reisnick, H.R. Varian, Recommender Systems. Special issue of Comm. of the ACM 40 (3) (1997)

J.B. Schafer, J.A. Konstan, J. Riedl, E-Commerce recommendation applications. DataMining and Knowledge Discovery 5 (1/2) (2001), 115-153

Semantic Web Advanced Development for Europe (SWAD-Europe). Available at http://www.w3.org/2001/sw/Europe/. Accessed 02/17/2005

SEWASIE Home. Available at http://www.sewasie.org. Accessed 02/17/2005

U. Shah, T. Finin, Y. Peng, J. Mayfield, Information Retrieval on the Semantic Web, Proceedings of the 10th International Conference on Information and Knowledge Management (2002), 461-468

B. Shapira, U. Hanani, A. Raveh, P. Shoval, Information filtering: A new two-phase model using stereotypic user profiling, Journal of Intelligent Information Systems 8 (1997), 155–165

Wonder Web. Available at http://wonderweb.semanticweb.org. Accessed 02/22/2005

R.R. Yager, Intelligent agents for World Wide Web advertising decisions, International Journal of Intelligent Systems 12 (1997), 379-390

L.A. Zadeh, The concept of a linguistic variable and its applications to approximate rea-soning. Part I, In Information Sciences 8 (1975), 199-249. Part II, In Information Sci-ences 8 (1975), 301-357. Part III, In Information Sciences 9 (1975), 43-80

Y. Zou, T. Finin, L. Ding, H. Chen, R. Pan, Using semantic web technology in multi-agent systems: a case study in the TAGA trading agent environment. In ACM Interna-tional Conference Proceeding Series. Proceedings of the 5th international conference on Electronic commerce (2003), 95-101


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