Search (236 results, page 2 of 12)

  • × language_ss:"e"
  • × theme_ss:"Automatisches Indexieren"
  1. Renouf, A.: Making sense of text : automated approaches to meaning extraction (1993) 0.01 
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    Imprint
    Oxford : Learned Information
    Source
    Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
    Type
    a
  2. Jardine, N.; Rijsbergen, C.J. van: ¬The use of hierarchic clustering in information retrieval (1971) 0.01 
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    Source
    Information storage and retrieval. 7(1971), S.217-240
    Type
    a
  3. Dattola, R.T.: FIRST: Flexible information retrieval system for text (1979) 0.01 
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    Source
    Journal of the American Society for Information Science. 30(1979), S.9-14
    Type
    a
  4. Sparck Jones, K.; Jackson, D.M.: ¬The use of automatically obtained keyword classification for information retrieval (1970) 0.01 
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    Source
    Information storage and retrieval. 5(1970), S.175-201
    Type
    a
  5. Garfield, E.; Sager, N.: Mechanical indexing, structural linguistics and information retrieval (1993) 0.01 
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    Source
    Journal of information science. 19(1993) no.2, S.164-165
    Type
    a
  6. Kantor, P.B.; Voorhees, E.: Information retrieval with scanned texts (2000) 0.01 
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    Source
    Information retrieval. 2(2000), S.165-176
    Type
    a
  7. Willett, P.: Recent trends in hierarchic document clustering : a critical review (1988) 0.01 
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    Source
    Information processing and management. 24(1988) no.5, S.577-597
    Type
    a
  8. Luhn, H.P.: ¬A statistical approach to the mechanical encoding and searching of literary information (1957) 0.01 
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  9. Bookstein, A.; Swanson, D.R.: Probabilistic models for automatic indexing (1974) 0.01 
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    Source
    Journal of the American Society for Information Science. 25(1974), S.312-318
    Type
    a
  10. Thiel, T.J.: Automated indexing of information stored on optical disk electronic document image management systems (1994) 0.01 
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    Source
    Encyclopedia of library and information science. Vol.54, [=Suppl.17]
    Type
    a
  11. Smart, G.: Using language analysis to manage information (1993) 0.01 
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    Abstract
    The ESPRIT project SIMPR developed software to analyse documents and generate indexes for them. Of immediate application as a document indexing and classification system, this also offers a technology for information modelling that has broader implications, supporting many new uses for information management softeware. The project was based on the assumption that information can only be managed successfully by computer systems that can view the information contained in a document through the language in which the document is written, and that systems need to be sufficiently flexible to respond to the changing requirements of document use
    Type
    a
  12. Salton, G.: ¬A new comparison between conventional indexing (MEDLARS) and automatic text processing (SMART) (1972) 0.01 
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    Source
    Journal of the American Society for Information Science. 23(1972), S.75-84
    Type
    a
  13. Hlava, M.M.: Automatic indexing : a matter of degree (2002) 0.01 
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    Source
    Bulletin of the American Society for Information Science. 28(2002) no.1, S.12-15
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  14. Keitz, W. von: Automatic indexing and the dissemination of information (1986) 0.01 
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  15. Garfield, E.; Sher, I.H.: KeyWords Plus: algorithmic derivative indexing (1993) 0.01 
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    Journal of the American Society for Information Science. 44(1993) no.5, S.298-299
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  16. Gray, W.A.; Harley, A.J.: Computer assisted indexing (1971) 0.01 
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    Information storage and retrieval. 7(1971), S.167-174
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  17. Stiles, H.E.: ¬The association factor in information retrieval (1961) 0.01 
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  18. Croft, W.B.: Clustering large files of documents using the single link method (1977) 0.01 
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    Journal of the American Society for Information Science. 28(1977), S.341-344
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  19. Sparck Jones, K.: Index term weighting (1973) 0.01 
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    Information storage and retrieval. 9(1973), S.619-633
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  20. Hlava, M.M.K.: Machine-Aided Indexing (MAI) in a multilingual environemt (1992) 0.01 
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    Abstract
    The Machine-Aided Indexing (MAI) program, developed by Access Innovations, Inc., is a semantic based, Boolean statement, rule interpreting application designed to operate in a multilingual environment. Use of MAI across several languages with controlled vocabularies for each language provides a consistency in indexing not available through any other mechanism
    Imprint
    Oxford : Learned Information Ltd.
    Source
    Online information 92. Proc. of the 16th Int. Online Information Meeting, London, 8-10.12.1992. Ed. by David I. Raitt
    Type
    a

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