Search (5 results, page 1 of 1)

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Date

9. 2.1997 18:44:22

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Abstract

Basic skills of classification and subject indexing have been little taught in British library schools since automation was introduced into libraries. However, development of the Internet as a major medium of publication has stretched the capability of search engines to cope with retrieval. Consequently, there has been interest in applying existing systems of knowledge organization to electronic resources. Unfortunately, the classification systems have been adopted without a full understanding of modern classification principles. Analytico-synthetic schemes have been used crudely, as in the case of the Universal Decimal Classification (UDC). The fully faceted Bliss Bibliographical Classification, 2nd edition (BC2) with its potential as a tool for electronic resource retrieval is virtually unknown outside academic libraries

Content

A short discussion of using classification systems to organize the web, one of many such. The authors are both involved with BC2 and naturally think it is the best system for organizing information online. They list reasons why faceted classifications are best (e.g. no theoretical limits to specificity or exhaustivity; easier to handle complex subjects; flexible enough to accommodate different user needs) and take a brief look at how BC2 works. They conclude with a discussion of how and why it should be applied to online resources, and a plea for recognition of the importance of classification and subject analysis skills, even when full-text searching is available and databases respond instantly.

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Abstract

Purpose - The aim of this article is to estimate the impact of faceted classification and the faceted analytical method on the development of various information retrieval tools over the latter part of the twentieth and early twenty-first centuries. Design/methodology/approach - The article presents an examination of various subject access tools intended for retrieval of both print and digital materials to determine whether they exhibit features of faceted systems. Some attention is paid to use of the faceted approach as a means of structuring information on commercial web sites. The secondary and research literature is also surveyed for commentary on and evaluation of facet analysis as a basis for the building of vocabulary and conceptual tools. Findings - The study finds that faceted systems are now very common, with a major increase in their use over the last 15 years. Most LIS subject indexing tools (classifications, subject heading lists and thesauri) now demonstrate features of facet analysis to a greater or lesser degree. A faceted approach is frequently taken to the presentation of product information on commercial web sites, and there is an independent strand of theory and documentation related to this application. There is some significant research on semi-automatic indexing and retrieval (query expansion and query formulation) using facet analytical techniques. Originality/value - This article provides an overview of an important conceptual approach to information retrieval, and compares different understandings and applications of this methodology.

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Abstract

Facet analysis is an established methodology for building classifications and subject indexing systems, but has been less rigorously applied to thesauri. The process of creating a compatible thesaurus from the schedules of the Bliss Bibliographic Classification 2nd edition highlights the ways in which the conceptual relationships in a subject field are handled in the two types of retrieval languages. An underlying uniformity of theory is established, and the way in which software can manage the relationships is discussed. The manner of displaying verbal expressions of concepts (vocabulary control) is also considered, but is found to be less well controlled in the classification than in the thesaurus. Nevertheless, there is good reason to think that facet analysis provides a sound basis for structuring a variety of knowledge organization tools.

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Abstract

The paper looks at ways in which traditional classification and indexing tools have dealt with the relationships between constituent terms; variations in these are examined and compared with the methods used in machine searching, particularly of the Internet and World Wide Web. Apparent correspondences with features of index languages are identified, and further methods of applying classification and indexing theory to machine retrieval are proposed. There are various ways in which indexing and retrieval systems, both conventional and electronic, deal with the problem of searching for documents on a subject basis, and various approaches to the analysis and processing of a query. There appear to be three basic models; the taxonomic or structural system, in which the user is offered a map of the `universe of knowledge'; the language based system, which offers a vocabulary of the subject and a grammar for dealing with compound statements; and the mathematical model using the language of symbolic logic or the algebra of set theory