Search (11 results, page 1 of 1)

  • × author_ss:"Drabenstott, K.M."
  1. Drabenstott, K.M.: Enhancing a new design for subject access to online catalogs (1994) 0.01
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    Source
    Annual review of OCLC research. 1994, S.52-54
  2. Drabenstott, K.M.; Riester, L.C.; Dede, B.A.: Shelflisting using expert systems (1992) 0.01
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    Source
    Classification research for knowledge representation and organization. Proc. 5th Int. Study Conf. on Classification Research, Toronto, Canada, 24.-28.6.1991. Ed. by N.J. Williamson u. M. Hudon
  3. Drabenstott, K.M.: Enhancing a new design for subject access to online catalogs (1994) 0.01
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    Footnote
    Rez. in: Library and information science research 18(1996) no.1, S.87-89 (C.A. Hert), Library resources and technical services 41(1997) no.1, S.60-67 (B.H. Weinberg)
  4. Drabenstott, K.M.; Simcox, S.; Fenton, E.G.: End-user understanding of subject headings in library catalogs (1999) 0.00
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    Date
    10. 9.2000 17:38:22
  5. Drabenstott, K.M.; Weller, M.S.: Improving personal-name searching in online catalogs (1996) 0.00
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    Abstract
    Reports results of a study to examine the performance of online catalogue searches involving personal names and to recommend improvements to the basic system approach to soliciting user queries and searching for them. The research questions addressed in the study wre: how online systems can chose searching approaches on their own that are likely to produce useful retrieval; how online systems solicit queries from users; and how users respond to an experimental online catalogue that prompts them for the different elements of their personal name queries. Improvements include: the implementation of a new design for online catalogue searching that features search trees; new methods for soliciting user queries bearing personal names; and enlisting the participation of online catalogue users in the evaluation of system prompts, instructions, and messages that request input from them
  6. Drabenstott, K.M.; Weller, M.S.: ¬A comparative approach to system evaluation : delegating control of retrieval tests to an experimental online system (1996) 0.00
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    Abstract
    Describes the comparative approach to system evaluation used in this research project which delegated the administartion of an online retrieval test to an experimental online catalogue to produce data for evaluating the effectiveness of a new subject access design. Describes the methods enlisted to sort out problem test administration, e.g. to identify out-of-scope queries, incomplete system administration, and suspect post-search questionnaire responses. Covers how w the researchers handled problem search administrations and what actions they would use to reduce or eliminate the occurrence of such administrations in future online retrieval tests that delegate control of retrieval tests to online systems
  7. Drabenstott, K.M.: Web search strategies (2000) 0.00
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    Date
    22. 9.1997 19:16:05
  8. Drabenstott, K.M.: Enhancing a new design for subject access to online catalogs (1996) 0.00
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    Abstract
    Search trees are sets of paths with branches or choices that enable systems to carry out the most sensible search approaches at each stage of searches. Report results of a research project, undertaken at Michigan University, which aimed to identify characteristics of the most difficult user queries and recommend enhancements to the new subject searching design to enable it to produce useful retrievals in response to the wide variety of queries users pose to online catalogues. Online catalogues governed by search trees are more effective than the users themselves in selecting subject searching approaches and the enhanced search trees described and tested enlist subject searching approaches that are not typical of the functionality of operational online catalogues. Concludes that design and development is required to upgrade existing online catalogues with search trees and new subject searching functionality to be successful in responding with useful retrievals to the most difficult user queries
  9. Drabenstott, K.M.; Weller, M.S.: Failure analysis of subject searches in a test of a new design for subject access to online catalogs (1996) 0.00
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    Abstract
    This article describes the findings of a research project that tested a new subject-access design in an experimental online catalog that had a wide range of subject-searching capabilities and search trees to govern the system's selection of searching capabilities in response to user queries. Library users at 2 academic libraries searched this experimental catalog for topics of their own choosing, judges the usefulness of retrieved titles, and answered post-search questions about their searching experiences. Mixed results from a quantitative analysis (i.e., precision scores) were supplemented with the more conclusive results from a qualitative analysis (i.e., failure analysis). Overall, analyses demonstrated that the new subject-access design that featured search trees was more effective in selecting a subject-searching approach that would prooduce useful information for the subjects users seek than users would select on their own. The qualitative analysis was especially helpful in providing recommendations for improving specific subject-searching approaches to increase their effenciency, increase user perseverance, and encourage browsing. It also suggested enhancements to the new subject-searching design to enable systems to respond to the wide variety of user queries for subjects
  10. Drabenstott, K.M.; Weller, M.S.: Handling spelling errors in online catalog searches (1996) 0.00
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    Abstract
    Reports results of 2 separate but related projects to study the influence of spelling errors (misspellings), made by searchers, on the subject searching of online catalogues and to suggest ways of improving error detection systems to handle the errors that they detect. This involved the categorization of user queries for subjects that were extracted from the online catalogue transaction logs of 4 USA university libraries. The research questions considered: the prevalence of misspellings in user queries for subjects; and how users respond to online catalogues that detect possible spelling errors in their subject queries. Less than 6% of user queries that match the catalogue's controlled and free text terms were found to contain spelling errors. While the majority of users corrected misspelled query words, a sizable proportion made an action that was even more detrimental than the original misspelling. Concludes with 3 recommended improvements: online catalogues should be equipped with search trees to place the burden of selecting a subject the system instead of the user; systems should be equipped with automatic spelling checking routines that inform users of possibly misspelled words; and online catalogues should be enhanced with tools and techniques to distinguish between queries that fail due to misspellings and correction failures. Cautions that spelling is not a serious problem but can seriously hinder the most routine subject search
  11. Drabenstott, K.M.: Do nondomain experts enlist the strategies of domain experts? (2003) 0.00
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    Abstract
    User studies demonstrate that nondomain experts do not use the same information-seeking strategies as domain experts. Because of the transformation of integrated library systems into Information Gateways in the late 1990s, both nondomain experts and domain experts have had available to them the wide range of information-seeking strategies in a single system. This article describes the results of a study to answer three research questions: (1) do nondomain experts enlist the strategies of domain experts? (2) if they do, how did they learn about these strategies? and (3) are they successful using them? Interviews, audio recordings, screen captures, and observations were used to gather data from 14 undergraduate students who searched an academic library's Information Gateway. The few times that the undergraduates in this study enlisted search strategies that were characteristic of domain experts, it usually took perseverance, trial-and-error, serendipity, or a combination of all three for them to find useful information. Although this study's results provide no compelling reasons for systems to support features that make domain-expert strategies possible, there is need for system features that scaffold nondomain experts from their usual strategies to the strategies characteristic of domain experts.