Field Exam:Information Organization and Access List Spring 2005 No. 1

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[edit] Reading List

1. Bush, V. (1945). As We May Think. Atlantic Monthly, 176(1), 101-108.

2. Given, L. M., & Hope A. O. (2003). Knowledge organization in research: A conceptual model for organizing data. Library & Information Science Research, 25(2), 157-176.

3. Svenonius, E. (2000). The intellectual foundation of information organization. Cambridge, Mass., MIT Press.

4. Classification Research Group. (1985). The need for a faceted classification as the basis of all methods of information retrieval. In Theory of subject analysis, ed. Lois Mai Chan, et al. Littleton, CO: Libraries Unlimited.

5. Iyer, H. (1995). Classificatory structures: concepts, relations and representation. Frankfurt/Main, Indeks Verlag.

6. Otlet, Paul. (1990). On the Structure of Classification Numbers. In International Organisation and Dissemination of Knowledge: Selected Essays of Paul Otlet. Edited by W. Boyd Rayward. Elsevier, 51-62.

7. Ranganathan, S. R. (1962). Elements of library classification (3d ed.). Bombay, New York,: Asia Pub. House.

8. IFLA Study Group on the Functional Requirements for Bibliographic Records. (1998). FRBR (Functional Requirements for Bibliographic Records), from http://www.ifla.org/VII/s13/frbr/frbr.pdf

9. Lubetzky, Lubetzky, S., Svenonius, E., & McGarry, D. (2001). Seymour Lubetzky : writings on the classical art of cataloging. Englewood, Colo.: Libraries Unlimited.

10. Lancaster, Indexing and Abstracting in theory and practice.

11. Cochrane, P. A. (1992). Indexing and Searching Thesauri, the Janus or Proteus of Information Retrieval. In Classification Research for Knowledge Representation and Organization. Elsevier Science Ltd., 161-177.

12. Buckland, M. (1999). Vocabulary as a central concept in library and information science. In T. Arpanac et al. (Eds.), Digital libraries: interdisciplinary concepts, challenges, and opportunities. Available at http://www.sims.berkeley.edu/~buckland/colisvoc.htm

13. Vickery, B. C. (1997). Ontologies. Journal of Information Science, 23, 277-288

14. Bates, M. J. (1989). Rethinking Subject Cataloging in the Online Environment. Library Resources & Technical Services, 33(4), 400-412.

15. Berners-Lee, T. (1998). Semantic Web Roadmap, from http://www.w3.org/DesignIssues/Semantic.html

16. Renear, A. H., Dubin, D., Sperberg-McQueen, C. M., and Huitfeldt, C. (2002). “Towards a Semantics for XML Markup.” In R. Furuta, J. I. Maletic, and E. Munson, (Eds.), Proceedings of the 2002 ACM Symposium on Document Engineering, (pp. 119-126), McLean, VA, November. New York: Association for Computing Machinery.

17. Rolland, F. D. (1998). The essence of databases. Harlow, England; New York, Prentice Hall.

18. Vickery, B. C. (1986). Knowledge representation: a brief review. Journal of documentation. 42(3), 145-159.

19. Belkin, N. J., Oddy, R. N., & Brooks, H. M. (1982). ASK for Information Retrieval: Part I. Background and Theory. Journal of Documentation, 38(2), 61-71.

20. Kuhlthau, C. C. (1993). Principle of Uncertainty for Information Seeking. Journal of Documentation, 49(4), 339-355.

21. Schamber, L. (1994). Relevance and Information Behavior. Annual Review of Information Science and Technology, 29.

22. Case, D. O. (2002). Looking for information: a survey of research on information seeking, needs, and behavior. San Diego, Calif.: Academic Press.

23. Blair, D. C. (2003). Information retrieval and the philosophy of language. Annual Review of Information Science and Technology, 37, 3-50.

24. Chu, H. (2003). Information representation and retrieval in the digital age. Medford, N.J.: Published for the American Society for Information Science and Technology by Information Today. Chapter 1. Information Representation and Retrieval: An Overview, 1-24.

25. Swanson, D. R. (1988). Historical Note: Information Retrieval and the Future of an Illusion. Journal of the American Society of Information Science, 39, 92-98.

26. Tague-Sutcliffe, J. (1992). The Pragmatics of Information Retrieval Experimentation Revisited. Information Processing & Management, 28, 467-490.

27. Downie, J. S. (2003). Music information retrieval. Annual Review of Information Science and Technology, 37, 295-340.

28. Futrelle, J. & Stephen J. D. (2002). Interdisciplinary Communities and Research Issues in Music Information Retrieval. In the Proceedings of the International Symposium on Music Information Retrieval, Paris.

29. Levinson, J. (1980). What a Musical Work Is. Journal of Philosophy, 77, 5-28.

30. McLane, A. (1996). Music as information. Annual Review of Information Science and Technology, 37, 225- 262.

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