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Fifty Years of Fuzzy Logic and its Applications pp 267–296Cite as

Fuzzy Information Retrieval Systems: A Historical Perspective

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 326))

Abstract

The application of fuzzy set theory to information retrieval has been applied, specifically to Boolean models. This includes fuzzy indexing procedures defined to represent the varying significance of terms in synthesizing the documents’ contents, the definition of query languages to allow the expression of soft selection conditions, and associative retrieval mechanisms to model fuzzy pseudo-thesauri, fuzzy ontologies, and fuzzy categorizations of documents.

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References

  1. Bartschi, M.: Requirements for query evaluation in weighted information retrieval. Inf. Process. Manage. 21(4), 291–303 (1985)

    Article  Google Scholar 

  2. Berrut, C., Chiaramella, Y.: Indexing medical reports in a multimedia environment: the RIME experimental approach, pp. 187–197. ACM-SIGIR 89, Boston (1986)

    Google Scholar 

  3. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)

    Book  MATH  Google Scholar 

  4. Bezdek, J.C., Biswas, G., Huang, L.Y.: Transitive closures of fuzzy thesauri for information-retrieval systems. Int. J. Man Mach. Stud. 25(3), 343–356 (1986)

    Article  Google Scholar 

  5. Bookstein, A.: Fuzzy requests: an approach to weighted Boolean searches. J. Am. Soc. Inf. Sci. 31(4), 240–247 (1980)

    Article  MathSciNet  Google Scholar 

  6. Bordogna, G., Campi, A., Psaila, G., Ronchi, S.: Disambiguated query suggestions and personalized content-similarity & novelty ranking of clustered results to optimize web searches. Inf. Process. Manage. 201(48), 419–437 (2012)

    Article  Google Scholar 

  7. Bordogna, G., Ghisalberti, G., Psaila, G.: Geographic information retrieval: modeling uncertainty of user’s context. Fuzzy Sets Syst. 196(1), 105–124 (2012)

    Article  MathSciNet  Google Scholar 

  8. Bordogna, G., Pasi, G.: The application of fuzzy set theory to model information retrieval. In: Crestani, F., Pasi, G. (eds.) Soft Computing in Information Retrieval: Techniques and Applications. Physica-Verlag (2000)

    Google Scholar 

  9. Bordogna, G., Pasi, G.: Linguistic aggregation operators in fuzzy information retrieval. Int. J. Intell. syst. 10(2), 233–248 (1995)

    Article  Google Scholar 

  10. Bordogna, G., Pasi, G.: Controlling information retrieval through a user adaptive representation of documents. Int. J. Approximate Reasoning 12, 317–339 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  11. Bordogna, G., Pasi, G.: A fuzzy linguistic approach generalizing Boolean information retrieval: a model and its evaluation. J. Am. Soc. Inf. Sci. 44(2), 70–82 (1993)

    Article  Google Scholar 

  12. Bordogna, G., Pasi, G.: An approach to identify ememes on the blogosphere. In: Proceedings of the Workshop NLPOE2012 held in collaboration with the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Macao, 5-10.12-(2012)

    Google Scholar 

  13. Bordogna, G., Pasi, G., Yager, R.: Soft approaches to information retrieval on the WEB. Int. J. Approximate Reasoning 34, 105–120 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  14. Bosc, P.: Fuzzy databases, in Fuzzy sets in approximate reasoning and information systems. In: Bezdek, J., Dubois, D., Prade, H. (eds.) The Handbooks of Fuzzy Sets Series, Kluwer Academic Publishers (1999)

    Google Scholar 

  15. Buell, D.A.: A problem in information retrieval with fuzzy sets. J. Am. Soc. Inf. Sci. 36(6), 398–401 (1985)

    Article  Google Scholar 

  16. Buell, D.A.: An analysis of some fuzzy subset applications to information retrieval systems. Fuzzy Sets Syst. 7(1), 35–42 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  17. Buell, D.A., Kraft, D.H.: Performance measurement in a fuzzy retrieval environment. In: Proceedings of the Fourth International Conference on Information Storage and Retrieval, pp. 56–62. ACM/SIGIR Forum, Oakland, CA, 16(1), 31 May–2 June, 1981

    Google Scholar 

  18. Buell, D.A., Kraft, D.H.: A model for a weighted retrieval system. J. Am. Soc. Inf. Sci. 32(3), 211–216 (1981)

    Article  Google Scholar 

  19. Buell, D.A., Kraft, D.H.: Threshold values and Boolean retrieval systems. Inf. Process. Manage. 17, 127–136 (1981)

    Article  MATH  Google Scholar 

  20. Cater, S.C., Kraft, D.H.: A generalization and clarification of the Waller-Kraft wish-list. Inf. Process. Manage. 25, 15–25 (19R 89)

    Google Scholar 

  21. Cater, S.C., Kraft, D.H.: TIRS: a topological information retrieval system satisfying the requirements of the Waller-Kraft wish list. In: Proceedings of the Tenth Annual ACM/SIGIR International Conference on Research and Development in Information Retrieval, pp. 171–180. New Orleans, LA, June 1987

    Google Scholar 

  22. da Costa Pereira, C., Dragoni, M., Pasi, G.: Multidimensional relevance: a new aggregation criterion. In: Boughanem, M., Berrut, C., Mothe, J., Soulé-Dupuy, C. (eds.) ECIR 2009. Lecture Notes in Computer Science, vol. 5478, pp. 264–275. Springer (2009)

    Google Scholar 

  23. da Costa Pereira, C., Dragoni, M., Pasi, G.: A prioritized and aggregation operator for multidimensional relevance assessment. In: Serra, R., Cucchiara, R. (eds.) AI*IA. Lecture Notes in Computer Science, vol. 5883, pp. 72–81. Springer (2009)

    Google Scholar 

  24. da Costa Pereira, C.,  Dragoni, M., Pasi, G.: Multidimensional relevance: prioritized aggregation in a personalized information retrieval setting. Inf. Process. Manage. 48(2), 340–357 (2012)

    Google Scholar 

  25. Crestani, F., Lalmas, M., van Rijsbergen, C.J., Campbell, I.: Is this document relevant? … Probably. ACM Comput. Surv. 30(4), 528–552 (1998)

    Article  Google Scholar 

  26. Dubois, D., Prade, H.: Possibility Theory: An Approach to Computerized Processing of Uncertainty. Plenum Press, New York (1988)

    Book  MATH  Google Scholar 

  27. Fuhr, N.: Models for retrieval with probabilistic indexing. Inf. Process. Manage. 25(1), 55–72 (1989)

    Article  MathSciNet  Google Scholar 

  28. Herrera, A., Herrera-Viedma, E.: Aggregation operators for linguistic weighted information. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 27(5), 646–656 (1997)

    Article  Google Scholar 

  29. Herrera-Viedma, E., Lopez-Herrera, A.G.: A model of an information retrieval system with unbalanced fuzzy linguistic information. Int. J. Intell. Syst. 22(11), 1197–1214 (2007)

    Article  MATH  Google Scholar 

  30. Kohout, L.J., Keravanou, E., Bandler, W.: Information retrieval system using fuzzy relational products for thesaurus construction. In: Proceedings IFAC Fuzzy Information, pp. 7–13. Marseille, France (1983)

    Google Scholar 

  31. Kraft, D.H.: Advances in information retrieval: where is that /#*%@^ record? In: Yovits, M. (ed.) Advances in Computers, vol. 24, pp. 277–318. Academic Press, New York (1985)

    Google Scholar 

  32. Kraft, D.H., Bordogna, G., Pasi, G.: Fuzzy set techniques in information retrieval. In: Bezdek, J.C., Dubois, D., Prade, H. (eds.) The Handbooks of Fuzzy Sets Series. Fuzzy Sets in Approximate Reasoning and Information Systems, pp. 469–510. Kluwer Academic Publishers (1999)

    Google Scholar 

  33. Kraft, D.H., Bordogna, G., Pasi, G.: An extended fuzzy linguistic approach to generalize Boolean information retrieval. J. Inf. Sci. Appl. 2(3), 119–134 (1995)

    Google Scholar 

  34. Lucarella, D., Morara, R.: FIRST: fuzzy information retrieval system. J. Inf. Sci. 17(2), 81–91 (1991)

    Article  Google Scholar 

  35. Lucarella, D., Zanzi, A.: Information retrieval from hypertext: an approach using plausible inference. Inf. Process. Manage. 29(1), 299–312 (1993)

    Article  Google Scholar 

  36. Miyamoto, S.: Fuzzy Sets in Information Retrieval and Cluster Analysis. Kluwer Academic Publishers (1990)

    Google Scholar 

  37. Miyamoto, S.: Information retrieval based on fuzzy associations. Fuzzy Sets Syst. 38(2), 191–205 (1990)

    Article  MATH  Google Scholar 

  38. Miyamoto, S.: Two approaches for information retrieval through fuzzy associations. IEEE Trans. Syst. Man Cybern. 19(1), 123–130 (1989)

    Article  MATH  Google Scholar 

  39. Miyamoto, S., Nakayama, K.: Fuzzy information retrieval based on a fuzzy pseudothesaurus. IEEE Trans. Syst. Man Cybern. SMC-16(2), 278–282 (1986)

    Google Scholar 

  40. Molinari, A., Pasi, G.: A fuzzy representation of HTML documents for information retrieval systems. In: Proceedings of the IEEE International Conference on Fuzzy Systems, vol. 1, pp. 107–112. New Orleans, U.S.A., 8–12 September 1996

    Google Scholar 

  41. Motro, A.: Imprecision and uncertainty in database systems. In: Bosc, P., Kacprzyk, J. (eds.) Fuzziness in Database Management Systems, pp. 3–22. Physica-Verlag, Heidelberg (1995)

    Chapter  Google Scholar 

  42. Murai, T., Miyakoshi, M., Shimbo, M.A.: fuzzy document retrieval method based on two-valued indexing. Fuzzy Sets Syst. 30(2), 103–120 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  43. Neuwirth, E., Reisinger, L.: Dissimilarity and distance coefficients in automation-supported thesauri. Inf. Syst. 7(1), 47–52 (1982)

    Article  MATH  Google Scholar 

  44. Nomoto, K., Wakayama, S., Kirimoto, T., Kondo, M.: A fuzzy retrieval system based on citation. Syst. Control 31(10), 748–755 (1987)

    Google Scholar 

  45. Paice, C.D.: Soft evaluation of Boolean search queries in information retrieval systems. Inf. Technol. Res. Dev. Appl. 3(1), 33–41 (1984)

    Google Scholar 

  46. Radecki, T.: Fuzzy set theoretical approach to document retrieval. Inf. Process. Manage. 15(5), 247–260 (1979)

    Article  MATH  Google Scholar 

  47. Radecki, T.: Mathematical model of information retrieval system based on the concept of fuzzy thesaurus. Inf. Process. Manage. 12(5), 313–318 (1976)

    Article  MATH  Google Scholar 

  48. Reisinger, L.: On fuzzy thesauri. In: Bruckman, G., et al. (eds.) COMPSTAT 1974, pp. 119–127. Physica Verlag, Vienna (1974)

    Google Scholar 

  49. Salton, G.: Automatic Text Processing: The Transformation, Analysis And Retrieval of Information by Computer. Addison Wesley (1989)

    Google Scholar 

  50. Salton, G., Allan, J., Buckley, C., Singhal, A.: Automatic analysis, theme generation, and summarization of machine-readable texts. Science 264, 1421–1426 (1994)

    Article  Google Scholar 

  51. Salton, G., Bergmark, D.: A citation study of computer science literature. IEEE Trans. Prof. Commun. 22(3), 146–158 (1979)

    Article  Google Scholar 

  52. Salton, G., Buckley, C.: Term weighting approaches in automatic text retrieval. Inf. Process. Manage. 24(5), 513–523 (1988)

    Article  Google Scholar 

  53. Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)

    MATH  Google Scholar 

  54. Sanchez, E.: Importance in Knowledge Systems. Inf. Syst. 14(6), 455–464 (1989)

    Article  Google Scholar 

  55. Sanchez, S.N., Triantaphyllou, E., Kraft, D.H.: A feature mining based approach for the classification of text documents into disjoint classes. Inf. Process. Manage. 38(4), 583–604 (2002)

    Article  MATH  Google Scholar 

  56. Sparck Jones, K.A.: Automatic Keyword Classification for Information Retrieval. Butterworths, London (1971)

    Google Scholar 

  57. Sparck Jones, K.A.: A statistical interpretation of term specificity and its application in retrieval. J. Documentation 28(1), 11–20 (1972)

    Article  Google Scholar 

  58. Tahani, V.: A fuzzy model of document retrieval systems. Inf. Process. Manage. 12(3), 177–187 (1976)

    Article  MATH  Google Scholar 

  59. van Rijsbergen, C.J.: Information Retrieval. Butterworths & Co. Ltd, London (1979)

    Google Scholar 

  60. Waller, W.G., Kraft, D.H.: A mathematical model of a weighted Boolean retrieval system. Inf. Process. Manage. 15, 235–245 (1979)

    Article  MATH  Google Scholar 

  61. Yager, R.R.: On ordered weighted averaging aggregation operators in multi criteria decision making. IEEE Trans. Syst. Man Cybern. 18(1), 183–190 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  62. Yager, R.R.: A note on weighted queries in information retrieval systems. J. Am. Soc. Inf. Sci. 38(1), 23–24 (1987)

    Article  Google Scholar 

  63. Yager, R.R., Rybalov, A.: On the fusion of documents from multiple collections information retrieval systems. J. Am. Soc. Inf. Sci. (1999)

    Google Scholar 

  64. Zadeh, L.A.: Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 1, 3–28 (1978)

    Article  MATH  MathSciNet  Google Scholar 

  65. Zadeh, L.A.: Fuzzy Sets. Information and control, vol. 8, pp. 338-353 (1965)

    Google Scholar 

  66. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning, parts I, II. Inf. Sci. 8, 199–249, 301–357 (1975)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Colorado Technical University, Colorado Springs, USA

    Donald H. Kraft & Erin Colvin

  2. Istituto per il Rilevamento Elettromagnetico dell’Ambiente, CNR, Milano (MI), Italy

    Gloria Bordogna

  3. Disco Università degli Studi di Milano Bicocca, Milano, Italy

    Gabriella Pasi

Authors
  1. Donald H. Kraft
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  2. Erin Colvin
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  3. Gloria Bordogna
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  4. Gabriella Pasi
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Corresponding author

Correspondence to Donald H. Kraft .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University, San Marcos, Texas, USA

    Dan E. Tamir

  2. School of Computing and Information Sciences, Florida International University, Miami, Florida, USA

    Naphtali D. Rishe

  3. School of Computing and Information Sciences, The University of South Florida, Tampa, Florida, USA, and Florida International University, Miami, Florida, USA

    Abraham Kandel

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Kraft, D.H., Colvin, E., Bordogna, G., Pasi, G. (2015). Fuzzy Information Retrieval Systems: A Historical Perspective. In: Tamir, D., Rishe, N., Kandel, A. (eds) Fifty Years of Fuzzy Logic and its Applications. Studies in Fuzziness and Soft Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-19683-1_15

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  • DOI: https://doi.org/10.1007/978-3-319-19683-1_15

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