Search (53 results, page 3 of 3)

  • × theme_ss:"Konzeption und Anwendung des Prinzips Thesaurus"
  • × type_ss:"a"
  1. Shiri, A.A.; Revie, C.: End-user interaction with thesauri : an evaluation of cognitive overlap in search term selection (2004) 0.00
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    Date
    29. 8.2004 16:27:16
  2. Huckstorf, A.; Petras, V.: Mind the lexical gap : EuroVoc Building Block of the Semantic Web (2011) 0.00
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    Date
    29. 3.2013 17:46:08
  3. Schmitz-Esser, W.: Thesaurus and beyond : an advanced formula for linguistic engineering and information retrieval (1999) 0.00
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    Source
    Knowledge organization. 26(1999) no.1, S.10-22
  4. Aitchison, J.; Dextre Clarke, S.G.: ¬The Thesaurus : a historical viewpoint, with a look to the future (2004) 0.00
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    Date
    22. 9.2007 15:46:13
  5. Bagheri, M.: Development of thesauri in Iran (2006) 0.00
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    Source
    Indexer. 25(2006) no.1, S.19-22
  6. Cheti, A.; Viti, E.: Functionality and merits of a faceted thesaurus : the case of the Nuovo soggettario (2023) 0.00
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    Date
    26.11.2023 18:59:22
  7. Holzner, S.: FIZ Wirtschaft - das Portal der Wirtschaftswissenschaften : Standard Thesaurus Wirtschaft als Basis für Wortschatzsynchronisierung (2001) 0.00
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    Date
    17. 5.2001 20:29:55
  8. Tseng, Y.-H.: Automatic thesaurus generation for Chinese documents (2002) 0.00
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    Abstract
    Tseng constructs a word co-occurrence based thesaurus by means of the automatic analysis of Chinese text. Words are identified by a longest dictionary match supplemented by a key word extraction algorithm that merges back nearby tokens and accepts shorter strings of characters if they occur more often than the longest string. Single character auxiliary words are a major source of error but this can be greatly reduced with the use of a 70-character 2680 word stop list. Extracted terms with their associate document weights are sorted by decreasing frequency and the top of this list is associated using a Dice coefficient modified to account for longer documents on the weights of term pairs. Co-occurrence is not in the document as a whole but in paragraph or sentence size sections in order to reduce computation time. A window of 29 characters or 11 words was found to be sufficient. A thesaurus was produced from 25,230 Chinese news articles and judges asked to review the top 50 terms associated with each of 30 single word query terms. They determined 69% to be relevant.
  9. Mu, X.; Lu, K.; Ryu, H.: Explicitly integrating MeSH thesaurus help into health information retrieval systems : an empirical user study (2014) 0.00
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    Date
    25. 1.2016 18:43:29
  10. Milstead, J.L.: Thesauri in a full-text world (1998) 0.00
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    Date
    22. 9.1997 19:16:05
  11. Assem, M. van: Converting and integrating vocabularies for the Semantic Web (2010) 0.00
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    Date
    29. 7.2011 14:44:56
  12. Burkart, M.: Thesaurus (2004) 0.00
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    Date
    5. 4.2013 10:18:22
  13. Mooers, C.N.: ¬The indexing language of an information retrieval system (1985) 0.00
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    Footnote
    Original in: Information retrieval today: papers presented at an Institute conducted by the Library School and the Center for Continuation Study, University of Minnesota, Sept. 19-22, 1962. Ed. by Wesley Simonton. Minneapolis, Minn.: The Center, 1963. S.21-36.

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