A Fuzzy Rule-Based Agent for Web Retrieval-Filtering

Vrettos, S.; Stafylopatis, A.

doi:10.1007/3-540-45490-X_58

S. Vrettos⁵ &
A. Stafylopatis⁵

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2198))

Included in the following conference series:

Asia-Pacific Conference on Web Intelligence

676 Accesses
9 Citations

Abstract

This work proposes an intelligent agent for information retrieval and information filtering in the context of e-learning. The agent is composed of five modules: the Indexing module,the User Profile module,the Information Retrieval module,the Information Filtering module,and the Interface module. The Information Retrieval and Information Filtering modules are based on the same Fuzzy Inference System which incorporates user profile knowledge.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Chapter: USD 29.95; Price excludes VAT (USA)

eBook: USD 84.99; Price excludes VAT (USA)

Softcover Book: USD 109.99; Price excludes VAT (USA)

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

References

M.W. Berry, Z. Drmac,and E.R. Jessup. Matrices, vector spaces and information retrieval. SIAM Review, 41(2):335–362, November 1999.
Article MATH MathSciNet Google Scholar
S.M. Chen and J.Y. Wang. Document retrieval using knowledge-based fuzzy information retrieval techniques. IEEE Transactions on Systems, Man and Cybernetics, 25:793–802, 1995.
Article Google Scholar
V. Cross. Fuzzy information retrieval. Journal of Intelligent Information Systems, 3:29–56, 1994.
Article Google Scholar
S. Deerwester, S.T. Dumais, G.W. Furnas, T.K. Landauer,and R. Harshman. Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6):391–407, 1990.
Article Google Scholar
S.T. Dumais. Enhancing performance in latent semantic indexing retrieval. Technical Memorandum TM-ARH-017527, September 1990.
Google Scholar
D. Mladenic. Text-learning and related intelligent agents. IEEE Expert special issue on Applications of Intelligent Information Retrieval, July–August 1999.
Google Scholar

Download references

Author information

Authors and Affiliations

Department of Electrical and Computer Engineering, National Technical University of Athens, 157 73, Zographou, Athen, Greece
S. Vrettos & A. Stafylopatis

Authors

S. Vrettos
View author publications
You can also search for this author in PubMed Google Scholar
A. Stafylopatis
View author publications
You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan
Ning Zhong
Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2
Yiju Yao
Department of Computer Science, Hong Kong Baptist University, 224 Waterloo Road, Kowloon, Hong Kong, China
Jiming Liu
Department of Information and Computer Science, Waseda University, 3-4-1 Okubo Shinjuku-Ku, Tokyo, 169, Japan
Setsuo Ohsuga

Rights and permissions

Reprints and permissions

Copyright information

About this paper

Cite this paper

Vrettos, S., Stafylopatis, A. (2001). A Fuzzy Rule-Based Agent for Web Retrieval-Filtering. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_58

Download citation

DOI: https://doi.org/10.1007/3-540-45490-X_58
Published: 19 October 2001
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42730-8
Online ISBN: 978-3-540-45490-8
eBook Packages: Springer Book Archive

Publish with us

Policies and ethics