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A New Approach for Boolean Query Processing in Text Information Retrieval

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Book cover Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 42))

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Abstract

The main objective of an information retrieval system is to be effective in providing a user with relevant information in response to a query. However, especially given the information explosion which has created an enormous volume of information, efficiency issues cannot be ignored. Thus, to be able to quickly process lists of documents that have the keywords stated in a given query assigned/indexed to them by merging via the Boolean logic of the query is essential in a Boolean query system. A new algorithm, based loosely on concurrent codes, is developed and discussed.

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References

  1. Baird, L.C., Bahn, W.L., Collins, M.D.: Jam-resistant communication without shared secrets through the use of concurrent codes. U.S. Air Force Academy Technical Report USAFA-TR-2007-01 (14 Feb. 2007)

    Google Scholar 

  2. Baeza-Yates, R.: A fast set intersection algorithm for sorted sequences. In: Sahinalp, S.C., Muthukrishnan, S.M., Dogrusoz, U. (eds.) CPM 2004. LNCS, vol. 3109, Springer, Heidelberg (2004)

    Google Scholar 

  3. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, New York (1999)

    Google Scholar 

  4. Barbay, J., Lopez-Ortiz, A., Lu, T.: Faster adaptive set intersections for text searching. In: Àlvarez, C., Serna, M. (eds.) WEA 2006. LNCS, vol. 4007, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  5. Demaine, E.D., Lopez-Ortiz, A.: A Lower Bound on Index Size for Text Retrieval. Journal of Algorithms 48(1), 2–15 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  6. Demaine, E.D., Lopez-Ortiz, A., Munro, J.I.: “Experiments on Adaptive Set Intersections for Text Retrieval Systems. In: Buchsbaum, A.L., Snoeyink, J. (eds.) ALENEX 2001. LNCS, vol. 2153, Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  7. Demaine, E.D., Lopez-Ortiz, A.: Adaptive Set Intersections, Unions, and Differences. In: Proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA), ACM Press, New York (2000)

    Google Scholar 

  8. Kraft, D.H., Buell, D.A.: Fuzzy Sets and Generalized Boolean Retrieval Systems. In: Dubois, D., Prade, H., Yager, R. (eds.) Readings in Fuzzy Sets for Intelligent Systems, Morgan Kaufmann Publishers, San Mateo (1992)

    Google Scholar 

  9. Kraft, D.H., Bordogna, G., Pasi, G.: Fuzzy Set Techniques in Information Retrieval. In: Bezdek, J.C., Didier, D., Prade, H. (eds.) Fuzzy Sets in Approximate Reasoning and Information Systems. The Handbook of Fuzzy Sets Series, vol. 3, Kluwer Academic Publishers, Norwell (1999)

    Google Scholar 

  10. Meadow, C.T., Boyce, B.R., Kraft, D.H.: Text Information Retrieval Systems, 2nd edn. Academic Press, San Diego (2000)

    Google Scholar 

  11. Grossman, D., Frieder, O.: Information Retrieval: Algorithms and Heuristics, 2nd edn. Springer, Heidelberg (2004)

    MATH  Google Scholar 

  12. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice-Hall, Englewood Cliffs (1995)

    MATH  Google Scholar 

  13. Sanchez, S.N., Triantaphyllou, E., Kraft, D.H.: A Feature mining Based Approach for the Classification of Text Documents into Disjoint Classes. Information Processing and Management 38(4), 583–604 (2002)

    Article  MATH  Google Scholar 

  14. Spink, A., et al.: Searching the Web: The Public and Their Queries. Journal of the American Society for Information Science 53(2), 226–234 (2001)

    Google Scholar 

  15. http://www-db.stanford.edu/~kevin/queryLanguage.html (October 16, 2006)

  16. Zobel, J.: Personal communication (June 2006)

    Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, U.S. Air Force Academy, USAFA, CO 80840, USA

    Leemon Baird & Donald H. Kraft

Authors
  1. Leemon Baird
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  2. Donald H. Kraft
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Editor information

Oscar Castillo Patricia Melin Oscar Montiel Ross Roberto Sepúlveda Cruz Witold Pedrycz Janusz Kacprzyk

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© 2007 Springer-Verlag Berlin Heidelberg

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Baird, L., Kraft, D.H. (2007). A New Approach for Boolean Query Processing in Text Information Retrieval. In: Castillo, O., Melin, P., Ross, O.M., Sepúlveda Cruz, R., Pedrycz, W., Kacprzyk, J. (eds) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. Advances in Soft Computing, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72434-6_7

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  • DOI: https://doi.org/10.1007/978-3-540-72434-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72433-9

  • Online ISBN: 978-3-540-72434-6

  • eBook Packages: EngineeringEngineering (R0)

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