Search (3 results, page 1 of 1)

  • × year_i:[1980 TO 1990}
  • × theme_ss:"Beziehungen verbale / systematische Erschließung"
  1. Scott, D.S.: Subject classification and natural-language processing for retrieval in large databases (1989) 0.01
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    Abstract
    New forms of man-machine interaction are becoming available that have great power for the delivery of information. But the scales of speed and capacity on which the computing machines operate demand new thoughts as to how information can be stored and retrieved. The objective of the discussion in this paper is to argue for a combination of natural-language processing and subject classification to be able to meet the demands
  2. Aitchison, J.: ¬A classification as a source for a thesaurus : the bibliographic classification of H.E. Bliss as a source of thesaurus terms and structure (1986) 0.01
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    Abstract
    The second edition of the Bibliographic Classidication of H.E. Bliss (BC2), being prepared under the editorship of Jack Mills, Vanda Broughton and others, is a rich source of structure and terminology for thesauri covering different subject fields. The new edition employs facet analysis and is thesaurus-compatible. A number of facet-based thesauri have drawn upon Bliss for terms and relationships. In two of these thesauri the Bliss Classification was the source of both systematic and alphabetical displays. The DHSS-DATA thesaurus, published by the United Kingdom Department of Health and Social Security, provides controlled terms and Bliss class numbers for indexing and searching the DHSS-DATA database. The ECOT thesaurus (Educational courses and occupations thesaurus) prepared for the Department of Education and Science, uses the software sedigned for the British Standards Institution ROOT thesaurus to genearte an alphabetical display from the systematic display derived from the Bliss schedules. Problems, benefits, and future prospects of Bliss-based thesaurus construction are discussed
  3. Root thesaurus. Pt.1.2 (1985) 0.01
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    Date
    18. 5.2007 14:22:43