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  • × theme_ss:"Klassifikationssysteme im Online-Retrieval"
  • × author_ss:"Sparck Jones, K."
  1. Sparck Jones, K.: Some thoughts on classification for retrieval (1970) 0.00
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    Footnote
    Wiederabdruck in: Journal of documentation. 61(2005) no.5, S.571-581.
    Source
    Journal of documentation. 26(1970), S.89-101
  2. Sparck Jones, K.: Some thoughts on classification for retrieval (2005) 0.00
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    Abstract
    Purpose - This paper was originally published in 1970 (Journal of documentation. 26(1970), S.89-101), considered the suggestion that classifications for retrieval should be constructed automatically and raised some serious problems concerning the sorts of classification which were required, and the way in which formal classification theories should be exploited, given that a retrieval classification is required for a purpose. These difficulties had not been sufficiently considered, and the paper, therefore, aims to attempt an analysis of them, though no solutions of immediate application could be suggested. Design/methodology/approach - Starting with the illustrative proposition that a polythetic, multiple, unordered classification is required in automatic thesaurus construction, this is considered in the context of classification in general, where eight sorts of classification can be distinguished, each covering a range of class definitions and class-finding algorithms. Findings - Since there is generally no natural or best classification of a set of objects as such, the evaluation of alternative classifications requires either formal criteria of goodness of fit, or, if a classification is required for a purpose, a precise statement of that purpose. In any case a substantive theory of classification is needed, which does not exist; and, since sufficiently precise specifications of retrieval requirements are also lacking, the only currently available approach to automatic classification experiments for information retrieval is to do enough of them. Originality/value - Gives insights into the classification of material for information retrieval.
    Source
    Journal of documentation. 61(2005) no.5, S.571-581
  3. Sparck Jones, K.: Revisiting classification for retrieval (2005) 0.00
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    Source
    Journal of documentation. 61(2005) no.5, S.598-601