Search (174 results, page 9 of 9)

  • × theme_ss:"Konzeption und Anwendung des Prinzips Thesaurus"
  1. Eastman, C.M.: Overlaps in postings to thesaurus terms : a preliminary study (1988) 0.00
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    Date
    25.12.1995 22:52:34
  2. Busch, J.A.: Building and accessing vocabulary resources for networked resource discovery and navigation (1998) 0.00
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    Date
    22. 9.1997 19:16:05
  3. Nielsen, M.L.: Thesaurus construction : key issues and selected readings (2004) 0.00
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    Date
    18. 5.2006 20:06:22
  4. Schneider, J.W.; Borlund, P.: ¬A bibliometric-based semiautomatic approach to identification of candidate thesaurus terms : parsing and filtering of noun phrases from citation contexts (2005) 0.00
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    Date
    8. 3.2007 19:55:22
  5. 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
  6. Assem, M. van; Gangemi, A.; Schreiber, G.: Conversion of WordNet to a standard RDF/OWL representation (2006) 0.00
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    Date
    29. 7.2011 14:44:56
  7. 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
  8. Bagheri, M.: Development of thesauri in Iran (2006) 0.00
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    Source
    Indexer. 25(2006) no.1, S.19-22
  9. Keyser, P. de: Indexing : from thesauri to the Semantic Web (2012) 0.00
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    Date
    24. 8.2016 14:03:22
  10. 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
  11. 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.
  12. 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
  13. Burkart, M.: Thesaurus (2004) 0.00
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    Date
    5. 4.2013 10:18:22
  14. Brühl, B.: Thesauri und Klassifikationen : Naturwissenschaften - Technik - Wirtschaft (2005) 0.00
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    Series
    Materialien zur Information und Dokumentation; Bd.22

Authors

Languages

  • e 129
  • d 36
  • f 4
  • sp 3
  • es 1
  • ru 1
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Types

  • a 141
  • el 14
  • m 12
  • n 5
  • x 5
  • r 4
  • s 2
  • b 1
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