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Part of the book series: Astrophysics and Space Science Library ((ASSL,volume 182))

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Abstract

What would constitute “intelligent” information retrieval is a question which has had a variety of answers over the twenty or so years that the concept has been extant. This paper reviews some of the approaches to intelligent information retrieval that have been suggested. Most of these suggestions have shared the assumption that the “intelligence” resides solely in the built system. More recent work in information retrieval has begun to concentrate on the interaction between the user and the other components of the system, and this work leads to an alternative assumption: that the user is an integral part of the information retrieval system, and that intelligence in the system resides in appropriate distribution of tasks between the user and the built system. We review some of this newer work, and propose an approach to the design of information retrieval systems starting from this new assumption. The approach is based upon three principles: that information retrieval is a process in support of the user’s more general domain and task environment; that people engage in a variety of information seeking strategies, all of which should be supported by the information retrieval system; and, that information retrieval is an inherently interactive process among user, knowledge resources, and intermediary mechanisms. These principles lead to prescriptions for domain, work and task analysis, for study of information seeking strategies and their relationships to underlying tasks, and for system design to support cooperative interaction among the participants.

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References

  1. Belew, R.K., “Adaptive information retrieval”, Proceedings of the 12th International Conference on Research and Development in Information Retrieval, ACM, New York, 11–20, 1989.

    Google Scholar 

  2. Belkin, N.J., Cool, C., Stein, A. and Thiel, U., Preprints of the AAAI Spring Symposium on Case-Based Reasoning and Information Retrieval, March 1993b.

    Google Scholar 

  3. Belkin, N.J. and Croft, W.B., “Information filtering and information retrieval: two sides of the same coin?”, Communications of the ACM, 35, 29–38, 1992.

    Article  Google Scholar 

  4. Belkin, N.J., Marchetti, EG. and Cool, C, “BRAQUE: Design of an interface to support user interaction in information retrieval”, Information Processing and Management, 29, 1993a (in press).

    Google Scholar 

  5. Belkin, N.J., Seeger, T. and Wersig, G., “Distributed expert problem treatment as a model for information system analysis and design”, Journal of Information Science, 5, 153–167, 1983.

    Article  Google Scholar 

  6. Belkin, N.J. and Vickery, A., Interaction in Information Systems, The British Library, London, 1985.

    Google Scholar 

  7. Brajnik, G., Guida, G. and Tasso, C, “User modeling in intelligent information retrieval”, Information Processing and Management, 23, 305–320, 1987.

    Article  Google Scholar 

  8. Cawsey, A., Galliers, J., Reece, S. and Sparck Jones, K., “Automating the librarian: belief revision as a base for system action and communication with the user”, The Computer Journal, 35, 221–232, 1992.

    Article  Google Scholar 

  9. Croft, W.B., “Approaches to intelligent information retrieval”, Information Processing and Management, 23, 249–254, 1987.

    Article  Google Scholar 

  10. Croft, W.B. and Thompson, R.H., “I3R: a new approach to the design of document retrieval systems”, Journal of the American Society for Information Science, 38, 389–404. 1987.

    Article  Google Scholar 

  11. Daniels, P.J., “Cognitive modeling in information retrieval — an evaluative review”, Journal of Documentation, 42, 272–304, 1986.

    Google Scholar 

  12. Egan, D.E. et al., “Formative design-evaluation of Super-Book”, ACM Transactions on Information Systems, 7, 30–57, 1989.

    Article  Google Scholar 

  13. Foltz, P.W. and Dumais, S.T., “Personalized information delivery: an analysis of information filtering methods”, Communications of the ACM, 35, 51–60, 1992.

    Article  Google Scholar 

  14. Furnas, G.W., Landauer, T.K., Gomez, L.M. and Dumais, ST., “Statistical semantics: analysis of the potential performance of keyword information systems”, Bell Systems Technical Journal, 62, 1753–1806, 1983.

    Google Scholar 

  15. Giommi, P. et al., “The European Space Information System”, in A. Heck and F. Murtagh, eds., Astronomy from Large Databases II, European Southern Observatory, Garching, 289, 1992.

    Google Scholar 

  16. Harman, D., ed., The First Text Retrieval Conference, National Institute of Standards and Technology Special Publication 500–207, Gaithersburg, MD, 1993.

    Google Scholar 

  17. Ingwersen, P., Information Retrieval Interaction, Taylor Graham, London, 1992.

    Google Scholar 

  18. Liddy, E.D. and Myaeng, S.H., “DR-LINK: Document retrieval using linguistic knowledge. Project description.”, SIGIR Forum, 26, 39–43, 1992.

    Article  Google Scholar 

  19. Oddy, R.N., “Information retrieval through man-machine dialogue”, Journal of Documentation, 33, 1–14, 1977.

    Google Scholar 

  20. Salton, G. and Buckley, C, “Improving retrieval performance by relevance feedback”, Journal of the American Society for Information Science, 41, 288–297, 1990.

    Article  Google Scholar 

  21. Salton, G., Fox, E. and Wu, H., “Extended Boolean information retrieval”, Communications of the ACM, 26, 1022–1036, 1983.

    Article  MATH  Google Scholar 

  22. Saracevic, T. and Kantor, P., “A study of information seeking and retrieving. III. Searchers, searches and overlap”, Journal of the American Society for Information Science, 39, 197–216, 1988.

    Article  Google Scholar 

  23. Su, L., “Evaluation measures for interactive information retrieval”, Information Processing and Management, 28, 503–516, 1992.

    Article  Google Scholar 

  24. Turtle, H. and Croft, W.B., “Evaluation of an inference network-based retrieval model”, ACM Transactions on Information Systems, 9, 187–222, 1991.

    Article  Google Scholar 

  25. van Rijsbergen, C.J., “A new theoretical framework for information retrieval”, Proceedings of the 1986 ACM SIGIR Conference, ACM, New York, 194–200, 1986.

    Google Scholar 

  26. Woods, D.D. and Roth, E.M., Handbook of Human-Computer Interaction, Elsevier/North-Holland, Amsterdam, 3–43, 1988.

    Google Scholar 

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© 1993 Kluwer Academic Publishers

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Belkin, N.J. (1993). Understanding and Supporting Human Information Seeking. In: Heck, A., Murtagh, F. (eds) Intelligent Information Retrieval: The Case of Astronomy and Related Space Sciences. Astrophysics and Space Science Library, vol 182. Springer, Dordrecht. https://doi.org/10.1007/978-0-585-33110-2_2

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  • DOI: https://doi.org/10.1007/978-0-585-33110-2_2

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-2295-5

  • Online ISBN: 978-0-585-33110-2

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