Classification and Hypermedia

Douglas Tudhope, Carl Taylor, Paul Beynon-Davies

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

This paper discusses a research prototype demonstrating an architecture for a hypermedia system, in which the index space has semantic relationships between terms. Information items in a social history museum application are indexed according to spatial, temporal, and subject-based classifications. The spatial and temporal indexes are inter-linked. Measures of semantic closeness over the different classification dimensions allow access to information, which might be missed by retrieval tools that require exact matching of terms used in a request. Illustrative examples of hypermedia navigation tools that make use of semantic closeness are described. A method of integrating different index dimensions drawing on research in numerical taxonomy is discussed. The paper goes on to discuss possibilities for a richer set of semantic primitives, that could profitably draw on concepts in the classification research literature.
Original languageEnglish
Title of host publicationProceedings of the 6th ASIS SIGICR Classification Research Workshop
EditorsRaymond Schwartz, Clare Beghtol, Elin Jacob, Barbara Kwasnik, Philip Smith
PublisherUniversity of Washington Library
Pages173-192
Number of pages20
DOIs
Publication statusPublished - 8 Oct 1995

Publication series

NameAdvances in Classification Research Online
PublisherUniversity of Washington Library
ISSN (Electronic)2324-9773

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