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  • × author_ss:"Svenonius, E."
  1. Liu, S.; Svenonius, E.: DORS: DDC online retrieval system (1991) 0.06
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    Abstract
    A model system, the Dewey Online Retrieval System (DORS), was implemented as an interface to an online catalog for the purpose of experimenting with classification-based search strategies and generally seeking further understanding of the role of traditional classifications in automated information retrieval. Specifications for a classification retrieval interface were enumerated and rationalized and the system was developed in accordance with them. The feature that particularly distinguishes the system and enables it to meet its stated specifications is an automatically generated chain index
  2. Svenonius, E.; Liu, S.; Subrahmanyam, B.: Automation of chain indexing (1992) 0.05
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    Abstract
    The last several years have seen the evolution of prototype systems exploiting the use of the Dewey Decimal Classification (DDC) as an interface to online catalogs. One such system, calles DORS (Dewy Online Retrieval System) was developed at the University of California, Los Angeles by the authors. The feature distinguishing this system is an automatically generated chain index, in particular the algorithms that were created for its automatic generation and the problems that were encountered. The problems were of three kinds: those that were overcome, but were not for lack of time and resources and those that we believe cannot be overcome. The paper concludes with suggestions for future resaerch and possible formatting changes to the DDC feature headings that would facilitate chain-index generation
  3. Svenonius, E.: LCSH: semantics, syntax and specifity (2000) 0.02
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    Series
    Cataloging and classification quarterly; vol.29, nos.1/2
    Source
    The LCSH century: one hundred years with the Library of Congress Subject Headings system. Ed.: A.T. Stone
  4. Svenonius, E.: LCSH: semantics, syntax and specifity (2000) 0.02
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    Series
    Cataloging and classification quarterly; vol.29, nos.1/2
    Source
    The LCSH century: one hundred years with the Library of Congress Subject Headings system. Ed.: A.T. Stone
  5. Svenonius, E.: Design of controlled vocabularies in the context of emerging technologies (1988) 0.01
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  6. Svenonius, E.: Facet definition: a case study (1978) 0.01
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    Abstract
    Historical account of the sophisticated method of indexing developed by J.O. Kaiser (1896/97), a librarian at the Philadelphia Commercial Museum who established his index on cards (a novelty then) and distinguished his items according to the categories 'concrete', 'process', and 'country'. He also introduced "statement indexing" and rules to this end in order to permit the supply of "complete information" on a subject in a document. In summarizing these findings, the author stresses the necessitiy of establishing well-defined categories if an organization of terms is to serve e.g. information retrieval.
  7. Svenonius, E.: Good indexing : a question of evidence (1975) 0.01
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    Abstract
    Different types of eveidence used in answering the question: what is good indexing? are considered. The evidence is presented in the context of the method on inquiry which produced mysticism, rationalism or empiricism. The method of mysticism is illustrated with reference to Cutter and the problem of specific entry. Ranganathan's approach to the controversy over alphabetical vs. classified arrangement is used to illustrate the method of rationalism. Cleverdon's work is taken as an example of the method of empiricism. In providing evidence for good indexing, the method of empiricism is found wanting. It is suggested that the method be improved by fundamental research into problems of sampling and definition, and that it be supplementend by other methods of inquiry
  8. Svenonius, E.: ¬The impact of computer technology on knowledge representations (1992) 0.01
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    Abstract
    The advent of the computer has brought epistemological questions, heretofore the province of classificationists and philosophers, into the limelight of popular thought. No longer of only theoretical interest, such questions stand in need of operational answers, at least if computers are to process information intelligently. Answers to these questions are embodied in what today are known as knowledge representations. Knowledge representations are used for a variety of related purposes, including language and text understanding, cognitive research, expert system development and information retrieval. This paper focuses on the use of three computer-based knowledge representations of potential relevance for information retrieval: hypertext systems, cluster analysis and knowledge representations accomodating rule-based reasoning. It then considers research that might be pursued to inform the development of knowledge representations for information retrieval
  9. McGarry, D.; Svenonius, E.: ¬An interview with Elaine Svenonius (2000) 0.00
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    Source
    Cataloging and classification quarterly. 29(2000) no.4, S.5-18