Major Problems in Retrieval Systems

Fadaie Araghi, Gholamreza Major Problems in Retrieval Systems. Cataloging & Classification Quarterly, 2005, vol. 40, n. 1, pp. 43-53. [Journal article (Paginated)]


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English abstract

For better retrieval, classification and indexing are the key factors. To better serve users there should be some criteria. The most popular criteria known are recall and precision. But these two are not totally accepted and respected in application. Uncertainty and giving more respect to information technology at the expense of information system management are the main problems. Although information retrieval includes many elements such as modality, document classification and categorization, system architecture, user interfaces, data visualization, filtering, language, and behavioral sciences, communication in a good environment covers all of them. For better communication, a classifier/ indexer must avoid taking false direction, be frank and careful not to use ambiguous terms, and must provide sufficient cross-references in their indexing. Good questioning and saying no when it should be said is regarded as a kind of filtration of the environment from noises.

Item type: Journal article (Paginated)
Keywords: Recall, precision, filtration, uncertainty, communication, information system
Subjects: I. Information treatment for information services > IC. Index languages, processes and schemes.
I. Information treatment for information services > IA. Cataloging, bibliographic control.
Depositing user: Gholamreza Fadaie
Date deposited: 13 Apr 2008
Last modified: 02 Oct 2014 12:11


1. Jiri Hynek. (2002). Document Classification in a Digital Library. Technical Report no. DCSE/TR 2002-04, p. 20.

2. Arthur Maltby. (1975). Sayer’s Manual of Classification for Librarians. 5th ed. Gt. Brit.: Andre Deutsch/Agrafton Book, p. 309; Jennifer Rowley and John Farrow. (2000). Organizing Knowledge, 3rd ed. London: Gower, p. 341; Masse Bloomfield. (2001). “Indexing–Neglected and Poorly Understood, Cataloging & Classification Quarterly, 33(1):69; Hynek, Document Classification, p. 5; David A. Grossman and Ophir Frieder. (1998). Information Retrieval: Algorithms and Heuristic, Boston: Kluwer Academic Publishers, p. 1-9.

3. Masse Bloomfield. (2001). “Indexing–Neglected and Poorly Understood,” Cataloging & Classification Quarterly: 33(1):70.

4. Maltby, Sayer’s Manual, p. 309.

5. Rowley and Farrow, Organizing Knowledge, p. 341.

6. Rowley and Farrow, Organizing Knowledge, p. 362-3.

7. David A. Grossman and Ophir Frieder. (1998). Information Retrieval: Algorithms and Heuristic. Boston: Kluwer Academic Publishers, p. 4-5.

8. Arlene Taylor. (1999). The Organization of Information. Inglewood, Colorado: Libraries Unlimited, p. 135.

9. Ricardo Baeza Yates and Berthier Ribeiro-Neto. (1999). Modern Information Retrieval. New York; London: ACM Press, Addison-Wesley, p. 7.

10. Cathal M. Brugha. (2001). “Implication from Decision Science for the Systems Development Life Cycle in Information Systems. Information System Frontier, 3(1):92.

11. Brugha, “Implication from Decision Science,” p. 93.

12. Taylor, Organization of Information, p. 131.

13. Jeffrey K. Pinto and Ido Millet. (1999). “Successful Information System Implementation, the Human Side,” 2nd Edition. Project Management Institute, 1999.

14. Bloomfield, “Indexing–Neglected,” p. 72-3.

15. Baeza Yates and Ribeiro-Neto, Modern Information Retrieval, p. 7.

16. ‘Ali Akbar Dehkhoda. (1372/1993). Amthal va Hekam (Axioms and Parables). Tehran, Iran: Amirkabir, pt. 3, p. 1340.

17. Dehkhoda, Amthal va Hekam, pt. 2, p. 994.

18. Thomas W. Lauer. (2001). “Question and Information: Contrasting Metaphors,” Information System Frontiers 3(1):41-8.

19. Lauer, “Question and Information,” p. 47.

20. Lauer, “Question and Information,” p. 47.

21. Lauer, “Question and Information,” p. 47.

22. Warren Weaver and Claude E. Shannon, The Mathematical Theory of Communication, Urbana, IL: University of Illinois Press, 1949, republished in paperback 1963.

23. Rebecca Green. (1991). “The Expression of Syntagmatic Relationships in Indexing: Is a Framework Based Index languages the Answer?” in Classification Research for Knowledge Representation and Organization, edited by Nancy J. Williamson and M. Hudon. New York: F.I.D.; Elsevier, p. 79-89.

24. Don Lathom. (2002). “Information Architect: Notes Toward a New Curriculum,” Journal of American Society of Information Science and Technology, 53(10):825-828.


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