Search (3 results, page 1 of 1)

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Abstract

This paper examines issues relating to the use of the Dewey Decimal Classification (DDC) in a future development of view-based searching to Online Public Access Catalogues (OPAC). View-based searching systems, exercising the principles of fully faceted classification techniques for both bibliographic and corporate database retrieval applications, are now being applied to utilise Dewey concept hierarchies in a University OPAC. Issues of efficiency and effectiveness in the evolving organisation and classification of information within libraries are examined to explain why fully faceted classification schemes have yet to realise their full potential in libraries. The key to their application in OPACs lies in the use of faceted classification as pre-coordinated indexing and abandoning the single dimension relative ordering of books on shelves. The need to maintain a single relative physical position on a bookshelf is the major source of complexity in classification. Extensive latent benefits will be realised when systematic subject arrangements, providing alternative views onto OPACs, are coupled to view-based browser and search techniques. Time and effort will be saved, and effectiveness increased, as rapid access is provided to the most appropriate information to satisfy the needs of the user. A future for Dewey Classification divorced from its decimal notation is anticipated

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Abstract

The application of classification schemes and thesauri to improve online information retrieval can be traced back to the beginnings of online searching itself, but the true potential for using knowledge structures in the user interface has yet to be realized. View-based searching seeks to exploit the classified arrangements in thesauri and existing classification schemes to improve the performance of such systems. HIBROWSE for EMBASE is a system which demonstrates the power of applying an approach to information retrieval which is strongly related to faceted classification. It does this by employing a point a click user interface with mutually constraining views utilising knowledge structure hierarchies for both query specification and the presentation of results. The relevance of this approach to library OPACs is discussed in the context of the digital library, concluding that out legacy of research in classification and indexing is more relevant than ever in the design of systems to cope with the problems of information access

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Content

1. Introduction Web search engines and digital libraries usually expect the users to use search terms that most accurately represent their information needs. Finding the most appropriate search terms to represent an information need is an age old problem in information retrieval. Keyword or phrase search may produce good search results as long as the search terms or phrase(s) match those used by the authors and have been chosen for indexing by the concerned information retrieval system. Since this does not always happen, a large number of false drops are produced by information retrieval systems. The retrieval results become worse in very large systems that deal with millions of records, such as the Web search engines and digital libraries. Vocabulary control tools are used to improve the performance of text retrieval systems. Thesauri, the most common type of vocabulary control tool used in information retrieval, appeared in the late fifties, designed for use with the emerging post-coordinate indexing systems of that time. They are used to exert terminology control in indexing, and to aid in searching by allowing the searcher to select appropriate search terms. A large volume of literature exists describing the design features, and experiments with the use, of thesauri in various types of information retrieval systems (see for example, Furnas et.al., 1987; Bates, 1986, 1998; Milstead, 1997, and Shiri et al., 2002).