Document (#29393)

Author

Sparck Jones, K.

Title

Some thoughts on classification for retrieval

Source

Journal of documentation. 61(2005) no.5, S.571-581

Year

2005

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.

Footnote

Vgl. auch unter: http://www.emeraldinsight.com/10.1108/00220410510625796

Theme

Klassifikationssysteme im Online-Retrieval

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3. Bahls, D.; Scherp, G.; Tochtermann, K.; Hasselbring, W.: Towards a recommender system for statistical research data (2012) 0.17

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4. Golub, K.; Lykke, M.: Automated classification of web pages in hierarchical browsing (2009) 0.16

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5. Hjoerland, B.; Pedersen, K.N.: ¬A substantive theory of classification for information retrieval (2005) 0.16

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