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Web-based content organization and the transformation of traditional classification systems

Authors: Busch, Joseph;

Web-based content organization and the transformation of traditional classification systems

Abstract

Traditional hierarchical classification systems were designed to optimize the management, findability and use of physical collections of objects. But as more and more collections of objects are being accessed and used on the Web, these predominant classification models have been modified by facetted taxonomies with semantic relationships. The diverse uses of information require specialized classification strategies that reach beyond simple use cases. The ubiquity of web search engines and hypertext is also leading to new interest in labelling and describing named entities. This paper discusses these developments and provides examples for their utility in a variety of organizations, profit and non-profit.

Keywords

Search engines, Classification systems, Taxonomies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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