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It is a Thesaurus of Metadata generated by multiple End User s. Content ''consumers'' define tags, which are then attributed to the content. The quality of relevance between the user-generated Metadata and the Content is strengthened by other users in a democratic fashion, ''i.e.'' if two users define an object as being 'white' and one user defines an object as being 'cream' then a relevance can be defined as "''more white than cream''", with this statement being derived by the data structure, which in turn has been defined by users. Thus, as in the strength of a collaborative system such as a Wiki , the combined effort of many users strengthen the rating of metadata and erroneous definitions (for example, through poor spelling, poor understanding, or poor use of the content or the system on which it resides) also known as Meta Noise , are reduced to minimal levels. The data structure generated can be interpreted by software (for generation of enhanced Tag Clouds which show Hierarchical Data Structures ) and by humans (to see their influence on the organisation of information within a system). SEE ALSO
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