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Abstract

Indexing consists of both novel and more traditional techniques. Cutting-edge indexing techniques, such as automatic indexing, ontologies, and topic maps, were developed independently of older techniques such as thesauri, but it is now recognized that these older methods also hold expertise. Indexing describes various traditional and novel indexing techniques, giving information professionals and students of library and information sciences a broad and comprehensible introduction to indexing. This title consists of twelve chapters: an Introduction to subject readings and theasauri; Automatic indexing versus manual indexing; Techniques applied in automatic indexing of text material; Automatic indexing of images; The black art of indexing moving images; Automatic indexing of music; Taxonomies and ontologies; Metadata formats and indexing; Tagging; Topic maps; Indexing the web; and The Semantic Web.

Date

24. 8.2016 14:03:22

LCSH

Indexing

Subject

Indexing

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Content

Enthält u.a. folgende Aussage von J. Aitchison u. S. Dextre Clarke: "We face a paradox. Ostensibly, the need and the opportunity to apply thesauri to information retrieval are greater than ever before. On the other hand, users resist most efforts to persuade them to apply one. The drive for interoperability of systems means we must design our vocabularies for easy integration into downstream applications such as content management systems, indexing/metatagging interfaces, search engines, and portals. Summarizing the search for vocabularies that work more intuitively, we see that there are trends working in opposite directions. In the hugely popular taxonomies an the one hand, relationships between terms are more loosely defined than in thesauri. In the ontologies that will support computer-to-computer communications in AI applications such as the Semantic Web, we see the need for much more precisely defined term relationships."