Skip to main content

Conceptual Soft-Computing based Web search: FIS-CRM, FISS Metasearcher and GUMSe Architecture

  • Chapter
Forging New Frontiers: Fuzzy Pioneers II

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 218))

Abstract

In this work it is presented a brief summary of FIS-CRM (Fuzzy Interrelations and Synonymy Conceptual Representation Model), its first application FISS (Fuzzy Interrelations and Synonymy Searcher), and a new platform based on agents GUMSe (GUM Search), developed with the aim of improving the semantic capabilities of Web search engines.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Abásolo, C. and Gómez, M. (2002): A framework for meta-search based on numerical aggregation operators. In Procceedings of the Congrés Català d’Intel.ligència Artificial, CCIA 2002.

    Google Scholar 

  • Bordogna, G., Carrara, P. Pasi, G. (1995). Fuzzy approaches to extend boolean information retrieval, P. Bosc, J. Kacprzyk Eds. Fuzziness in database management-systems, Germany: Physica-Verlag, 231–274.

    Google Scholar 

  • Brezeale, D. (1999). The Organization of Internet Web Pages Using Wordnet And Self-Organizing Maps. Masters thesis, University of Texas at Arlington, August 1999.

    Google Scholar 

  • Bruza, P.; McArthur, R. and Dennis S. (2000): Interactive Internet search: Keyword, directory and query reformulation mechanisms compared. In Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 280–287.

    Google Scholar 

  • Choi, D. (2001). Integration of document index with perception index and its application to fuzzy query on the Internet, Proceedings of the BISC Int. Workshop on Fuzzy Logic and the Internet, 68–72.

    Google Scholar 

  • Cooley, R., Mobasher, B., Srivastaba, J. (1997). Grouping web page references into transactions for mining world wide web browsing patterns, Technical report TR 97-021, University of Minnesota, Minneapolis.

    Google Scholar 

  • Delgado, M., Martin-Bautista, M.J., Sánchez, D., Serrano, J.M., Vila, M.A. (2003). Association rules and fuzzy associations rules to find new query terms, Proc. of the Third Conference of the EUSFLAT, 49–53.

    Google Scholar 

  • Deerwester, Scott, Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R. (1990). Indexing by latent semantic analysis, Journal of the American Society for Information Science, 41(6), 391–407.

    Article  Google Scholar 

  • Efthimiadis, E. N. (1996). Query Expansion. ARIST, v31, 121–187.

    Google Scholar 

  • Fernandez, S. (2001). A contribution to the automatic processing of the synonymy using Prolog, PhD Thesis, University of Santiago de Compostela, Spain.

    Google Scholar 

  • Fernández, S., Sobrino, A. (2000). Hacia un tratamiento computacional de la sinonimia. In Revista de la Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), No 26, September 2000, 89–95.

    Google Scholar 

  • Giles C. L. (1999): Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information and Knowledge Management (CIKM’99) ACM, 210 216.

    Google Scholar 

  • Gonzalo, J., Verdejo, F., Chugur, I., Cigarran, J. (1998). Indexing with WordNet synsets can improve retrieval, Proc. of the COLING/ACL Work. on usage of WordNet in natural language processing systems.

    Google Scholar 

  • Herrera-Viedma, E. (2001). An information retrieval system with ordinal linguistic weighted queries based on two weighting elements, Int. J. Uncertainty, Fuzziness and Knowledge-Based Systems, 9, 77–88.

    Article  MATH  MathSciNet  Google Scholar 

  • Herrera-Viedma, R., Pasi, G. (2003). Fuzzy approaches to access information on the Web: recent developments and research trends, Proc. of the Third Conference of the EUSFLAT, 25–31.

    Google Scholar 

  • Kerschberg, L.; Kim, W. and Scime, A. (2001): A Semantic Taxonomy-Based Personalizable Meta-Search Agent. Second International Conference on Web Information Systems Engineering (WISE’01).

    Google Scholar 

  • King-Ip, L., Ravikumar, K. (2001). A similarity-based soft clustering algorithm for documents, Proc. of the Seventh Int. Conf. on Database Sys. for Advanced Applications.

    Google Scholar 

  • Kiryakov, A.K., Simov, K.I. (1999). Ontologically supported semantic matching, Proceedings of ‘‘NODALIDA’99: Nordic Conference on Computational Linguistics’’, Trondheim.

    Google Scholar 

  • Lafourcade, M., Prince, V. (2001). Relative Synonymy and conceptual vectors, Proceedings the Sixth Natural Language Processing Pacific Rim Symposium, Japan, (202), 127–134.

    Google Scholar 

  • Leacock, C., Chodorow, M. (1998), Combining local context and Wordnet similarity for word sense disambiguation, In WordNet, an Electronic Lexical Database, MIT Press, Cambridge Ma, 285–303.

    Google Scholar 

  • Li, Z.; Wang, Y. and Oria, V. (2001): A New Architecture for Web Meta-Search Engines, in Proceedings of the 2001 Americas Conference on Information Systems, Boston, MA, 2001.

    Google Scholar 

  • Loupy, C., El-Bèze, M. (2002). Managing synonymy and polysemy in a document retrieval system using WordNet, Proceedings of the LREC2002: Workshop on Linguistic Knowledge Acquisition and Representation.

    Google Scholar 

  • Martin-Bautista, M.J., Vila, M., Kraft, D., Chen, J. (2001). User profiles and fuzzy logic in web retrieval, Proc. of the BISC Int. Workshop on Fuzzy Logic and the Internet, 19–24.

    Google Scholar 

  • Miller, G. (ed.) (1990). WORDNET: An Online Lexical Database. International Journal of Lexicography, 3(4).

    Google Scholar 

  • Miller, G.A. (1995). WordNet: A lexical database for English, Communications of the ACM 11, 39–41.

    Article  Google Scholar 

  • Miyamoto, S., Miyake, T. Nakayama, K. (1983). Generation of pseudothesaurus for information retrieval based on co-occurrences and fuzzy set operations, IEEE Transactions on Systems, Man and Cybernetics, Vol 13, 1, 62–70.

    MathSciNet  Google Scholar 

  • Miyamoto, S. (1990). Information retrieval based on fuzzy associations, Fuzzy Sets and Systems, 38 (2), 191–205.

    Article  MATH  Google Scholar 

  • Ohgaya, R., Takagi, T., Fukano, K., Taniguchi, K. (2002). Conceptual fuzzy sets- based navigation system for Yahoo!, Proc. of the 2002 NAFIPS annual meeting, 274–279.

    Google Scholar 

  • Olivas, J.A., Garcés, P.J., Romero, F.P. (2003). An application of the FIS-CRM model to the FISS metasearcher: Using fuzzy synonymy and fuzzy generality for representing concepts in documents, Int. Journal of Approximate Reasoning 34, 201–219.

    Article  MATH  Google Scholar 

  • Pasi, G. (2002). Flexible information retrieval: some research trends, Mathware and Soft Computing 9, 107–121.

    MATH  Google Scholar 

  • Perkovitz, M., Etzioni, O. (2000). Towards adaptive web sites: Conceptual framework and case study, Artificial Intelligence 118, 245–275.

    Article  Google Scholar 

  • Porter, M. F. (1980). An Algorithm for Suffix Stripping. Program, 14(3): 130–137.

    Google Scholar 

  • Ramakrishnan, G., Prithviraj, B.P., Deepa E. et al, (2004). Soft word disambiguation, Second Global WordNet Conference, 2004.

    Google Scholar 

  • Ricarte, I., Gomide, F. (2001). A reference model for intelligent information search, Proc. of the BISC International Workshop on Fuzzy Logic and the Internet, 80–85.

    Google Scholar 

  • Romero, F. P.; Garcés, P.; Olivas, J. A. (2002). Improving Internet Intelligent Agents using Fuzzy Logic and Data Mining Techniques. Proc. of the International Conference on Artificial intelligence IC-AI’02, 225–230.

    Google Scholar 

  • Salton, G., Wang, A., Yang, C.S.A. (1975). Vector space model for automatic indexing, Communications of the ACM 18, 613–620.

    Article  MATH  Google Scholar 

  • Serrano-Guerrero, J.; Olivas, J. A. (2004). Discovery of conceptual relations for ontology construction in GUMSe. 2004 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings - NAFIPS, IEEE, Banff, Alberta, Canada, 647 – 651.

    Google Scholar 

  • Sun, J., Shaban, K., Poddre, S., Karry, F., Basir, O., Kamel, M. (2003). Fuzzy Semantic measurement for synonymy and its application in an automatic question-answering system, IEEE Int. Conference on National Language Processing and Knowledge Engineering, Beijing.

    Google Scholar 

  • Tang, Y., Zhang, Y. (2001). Personalized library search agents using data mining techniques, Proceedings of the 1st BISC Int. Workshop on Fuzzy Logic and the Internet, 119–124.

    Google Scholar 

  • Takagi, T., Tajima, M. (2001). Proposal of a search engine based on conceptual matching of text notes, Proc. of the BISC Int. Workshop on Fuzzy Logic and the Internet, 53–58

    Google Scholar 

  • Voorhees, E. (1998). Using WordNet for text retrieval, In WordNet: an electronic lexical database, MIT Press.

    Google Scholar 

  • Whaley, J.M. (1999). An application of word sense disambiguation to information retrieval, Dartmouth College Computer Science Technical Report PCS-TR99-352.

    Google Scholar 

  • Widyantoro, D., Yen, J. (2001). Incorporating fuzzy ontology of term relations in a search engine, Proceedings of the BISC Int. Workshop on Fuzzy Logic and the Internet, 155–160.

    Google Scholar 

  • Zadeh, L. A. (1987). Fuzzy Sets and Applications (Selected Papers, edited by R. R. Yager, S. Ovchinnikov, R. M. Tong, H. T. Nguyen), John Wiley, Nueva York.

    Google Scholar 

  • Zadeh, L. A. (2003). From search engines to Question-Answering System: The need for new tools, E. Menasalvas, J. Segovia, P.S. Szczepaniak (Eds.): Proceedings of the Atlantic Web Intelligence Conference - AWIC’2003. Lecture Notes in Computer Science (LNCS), Springer.

    Google Scholar 

  • Zamir, O., Etzioni, O. (1999). Grouper: A dynamic clustering interface to web search results, Proceedings of the WWW8.

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Olivas, J.A., Garcés, P.J., Mata, J.d., Romero, F.P., Serrano-Guerrero, J. (2008). Conceptual Soft-Computing based Web search: FIS-CRM, FISS Metasearcher and GUMSe Architecture. In: Forging New Frontiers: Fuzzy Pioneers II. Studies in Fuzziness and Soft Computing, vol 218. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73185-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73185-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73184-9

  • Online ISBN: 978-3-540-73185-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics