Search (8 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Volltextretrieval"
  1. Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994) 0.01
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    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
  2. Basch, R.: Searching full-text : tips and techniques (1992) 0.01
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  3. Böhle, K.; Riehm, U.: German fulltexts in working contexts : empirical findings on how end-users make use of fulltext databases (1989) 0.01
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  4. Silva, E.M. da: Comparing the use of full text search between a conventional IR System and a DBMS (2018) 0.01
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    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
  5. Magennis, M.: Expert rule-based query expansion (1995) 0.01
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  6. Muddamalle, M.R.: Natural language versus controlled vocabulary in information retrieval : a case study in soil mechanics (1998) 0.01
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    Abstract
    The effectiveness ot two information retrieval tools, namely, thesaurus and natural language, in an information retrieval system has been studies. A database SOILSC was created using a HP3000/58 series minicomputer and MINISIS software. Records of articles totalling 17.918 published in various journals, received in the Central Water and Power Research Station (CWPRS) library (Pune, India) since 1988, have been stored. The information needs of a soil mechanics group have been formulated using thesaurus and natural language into 81 search strategies. In consultation with the user, relevance of the retrieved documents was assessed and, recall (R) and precision (P) values were calculated. Since both thesaurus and natural language have shown identical performance in information retrieval, a combination of these two have been suggested for making searches and providing relevant information
  7. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.00
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    Date
    23. 1.1999 19:22:09
  8. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.00
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    Date
    9. 1.1996 10:22:31