Search (6 results, page 1 of 1)

  • × author_ss:"Humphrey, S.M."
  • × year_i:[1990 TO 2000}
  1. Humphrey, S.M.: Knowledge-based systems for indexing (1994) 0.03 
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    Abstract
    Human indexing for information retrieval is intellectually labor intensive. It requires maintaining a system of indexing rules and policies, which in turn require maintaining a controlled indexing vocabulary. These activities are being performed at the National Library of Medicine in support of indexing the MEDLINE database using the MeSH thesaurus. An additional requirement of the conventional indexing operation is maintaining and developing a user interface, known as the Automated Indexing and Management System (AIMS). Describes knowledge-based indexing, based on a unique prototype, called MedIndEx (Medical Indexing Expert)
    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
  2. Humphrey, S.M.: Indexing biomedical documents : from thesaural to knowledge-based retrieval systems (1992) 0.03 
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    Abstract
    Interactice knowledge-based indexing of the National Library of Medicine's MEDLINE database is advocated. It is established that in the current setting concept indexing is needed and cannot be fully automated. Compatibility between conventional and knowledge-based indexing is highlighted, followed by discussion of indexing as a cognitive process. The section of knowledge-based indexing describes how NLM's MedIndEx prototype addresses problems in conventional indexing and includes the contention that constructing a knowledge base adapted from a conventional classified thesaurus and indexing scheme is not as daunting as it may seem. Extension of the prototype to an intelligent search assistant illustrates use of the same knowledge base to integrate indexing and retrieval applications. Suggested are also future directions for knowledge-based indeing
  3. Humphrey, S.M.: Automatic indexing of documents from journal descriptors : a preliminary investigation (1999) 0.03 
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    Abstract
    A new, fully automated approach for indedexing documents is presented based on associating textwords in a training set of bibliographic citations with the indexing of journals. This journal-level indexing is in the form of a consistent, timely set of journal descriptors (JDs) indexing the individual journals themselves. This indexing is maintained in journal records in a serials authority database. The advantage of this novel approach is that the training set does not depend on previous manual indexing of thousands of documents (i.e., any such indexing already in the training set is not used), but rather the relatively small intellectual effort of indexing at the journal level, usually a matter of a few thousand unique journals for which retrospective indexing to maintain consistency and currency may be feasible. If successful, JD indexing would provide topical categorization of documents outside the training set, i.e., journal articles, monographs, Web documents, reports from the grey literature, etc., and therefore be applied in searching. Because JDs are quite general, corresponding to subject domains, their most problable use would be for improving or refining search results
  4. Humphrey, S.M.: Use and management of classification systems for knowledge-based indexing (1992) 0.02 
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    Abstract
    The MedIndEx (Medical Indexing Expert) research project combines artificial intelligence and information retrieval principles and methods to develop and test an interactive knowledge-based prototype for computer-assisted indexing of the MEDLINE database. By encoding the indexing scheme in a knowledge base, and designing a system for indexers to use in a workstation environment, the objective of this project is to facilitate "expert indexing" that is performed at the National Library of Medicine
  5. Humphrey, S.M.: ¬The MedIndEx prototype for computer assisted MEDLINE database indexing (1993) 0.02 
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    Source
    Indexing, providing access to information: looking back, looking ahead. Proceedings of the 25th Annual Meeting of the American Society of Indexers. Ed.: N.C. Mulvany
  6. Lancaster, F.W.; Ulvila, J.W.; Humphrey, S.M.; Smith, L.C.; Allen, B.; Herner, S.: Evaluation of interactive knowledge-based systems : overview and design for empirical testing (1996) 0.01 
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    Abstract
    An overview of levels and approaches in the evalution of knowledge-based systems is presented. There is a need for empirical studies using objective criteria in advance of completing the technical evaluation of such systems. A methodology for this type of evaluation developed for a particular knowledge-based indexing system is presented. It is suggested that the proposed study may serve as a model for the design of any evaluation in which the results of existing intellectual procedures are compared with results achieved when these procedures are aided by use of an appropriate expert system

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