Document (#39875)

Author

Broughton, V.

Title

¬The need for a faceted classification as the basis of all methods of information retrieval

Source

Aslib proceedings. 58(2006) nos.1/2, S.49-72

Year

2006

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.

Footnote

Beitrag in einem Themenheft: UK library & information schools: UCL SLAIS.

Theme

Universale Facettenklassifikationen
Ausbildung
Klassifikationstheorie: Elemente / Struktur

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4. Borem Lima, G.A.; Raghavan, K.S.: Categories in knowledge organization (2014) 0.40

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5. Binding, C.; Gnoli, C.; Tudhope, D.: Migrating a complex classification scheme to the semantic web : expressing the Integrative Levels Classification using SKOS RDF (2021) 0.39

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