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Related Bibliography: Information Retrieval in Online Catalogs

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Articles	File Type
Bates, M. J. (2003). Task Force Recommendation 2.3 Research and Design Review: Improving User Access to Library Catalog and Portal Information. Library of Congress Bicentennial Conference on Bibliographic Control for the New Millenium.	PDF
Bates, M. J. (2002). Speculations on Browsing, Directed Searching, and Linking in Relation to the Bradford Distribution.	HTML
Borgman, C. L. (1996). Why are Online Catalogs Still Hard to Use? Journal of the American Society for Information Science, 47(7), 493-503.
Brajnik, G., et. al. (2002). Strategic Help in User Interfaces for Information Retrieval. Journal of the American Society for Information Science and Technology, 53(5), 343-358.	HTML
Buckland, M., et. al. (1999). Mapping Entry Vocabulary to Unfamiliar Metadata Vocabularies. D-Lib Magazine, 5(1).	HTML
Chan, L. M. (2000). Exploiting LCSH, LCC, and DDC to Retrieve Networked Resources: Issues and Challenges.	HTML
Drabenstott, K. M. and Weller, M. S. (1996). Failure Analysis of Subject Searches in a Test of a New Design for Subject Access to Online Catalogs. Journal of the American Society for Information Science, 47(7), 519-537.
Hildreth, C. R. (1995). Online Catalog Design Models: Are We Moving in the Right Direction? Washington, DC: Council on Library and Information Resources.	HTML
See especially: Chapter 4: Advanced IR Research and the Probabilistic Retrieval Model. Chapter 6: Conclusion: Outline of the Next Generation of Online Catalogs.	HTML HTML
Khoo, C. S. G. and Wan, K.-W. (2004). A simple relevancy-ranking strategy for an interface to Boolean OPACs. The Electronic Library, 22(2), 112-120.
Larson, R. R., et. al. (1996). Cheshire II: Designing a Next-Generation Online Catalog. Journal of the American Society for Information Science, 47(7), 555-567.	PDF
Larson, R. R. (1991). Classification Clustering, Probabilistic Information Retrieval, and the Online Catalog. The Library Quarterly, 61(2), 133-173.
Mat-Hassan, M. & Levene, M. (2005). Associating Search and Navigation Behavior Through Log Analysis. Journal of the American Society for Information Science and Technology, 56(9), 913-934.
Micco, M. and Popp, R. (1994). Improving Library Subject Access (ILSA): A Theory of Clustering Based in Classification. Library Hi Tech, 45(12:1), 55-66.
Nicholson, D., Shiri, A., and McCulloch, E. (2004). Appendix F: Notes on Possible Clustering-Based Enhancements to User Tool Set. In HILT Phase II Final Report. Glasgow: Centre for Digital Library Research.	Word
See Also: Full HILT Phase II Final Report More information about the High-Level Thesaurus (HILT) Project	HTML HTML
Yee, M. M. (2005). FRBRization: a Method for Turning Online Public Finding Lists into Online Public Catalogs. Information Technology and Libraries, 24(3), 77-95.	PDF