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Document classification or document categorization is a problem in library science, information science and computer science. The task is to assign a document to one or more classes or categories .
The Clinton administration made a major change in the classification system by issuing an executive order that for the first time required all classified documents to be declassified after 25 years unless they were reviewed by the agency that created the information and determined to require continuing classification. [26]
Thus, no document remains classified for more than 50 years. This is mandated by the 2011 Information Access Law (Lei de Acesso à Informação), a change from the previous rule, under which documents could have their classification time length renewed indefinitely, effectively shuttering state secrets from the public. The 2011 law applies ...
The standard provides with the document kind classification code (DCC) a structured letter-code for the classification of any kind of document. A public access database IEC 61355 DB [ 3 ] is available in order to facilitate the individuation of the correct code to be applied to a document
Superintendent of Documents Classification took form around 1891, when Adelaide Hasse was given the task of organizing the government publications held at the Los Angeles Public Library. Rather than organize publications by subject, she instead organized them by provenance, that is, the government agency that issued them. [2]
A user may want a document about a subject, which is different from the one intended by its author. From the point of view of information systems, the subject of a document is related to the questions that the document can answer for the users (cf. the distinction between a content oriented and a request-oriented approach).
This calls for a mapping of the different epistemologies in the field and classification of the single document into such a map. Excellent examples of such different paradigms and their consequences for indexing and classification systems are provided in the domain of art by Ørom (2003) [14] and in music by Abrahamsen (2003). [15]
Additionally, for the specific purpose of classification, supervised alternatives have been developed to account for the class label of a document. [4] Lastly, binary (presence/absence or 1/0) weighting is used in place of frequencies for some problems (e.g., this option is implemented in the WEKA machine learning software system).