Search (109 results, page 1 of 6)

  • × theme_ss:"Volltextretrieval"
  1. Sormunen, E.: Free-text searching in full-text databases : probing system limits (1993) 0.17 
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    Source
    Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
    Type
    a
  2. Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994) 0.17 
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    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
    Type
    a
  3. Hider, P.: ¬The search value added by professional indexing to a bibliographic database (2017) 0.09 
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    Abstract
    Gross et al. (2015) have demonstrated that about a quarter of hits would typically be lost to keyword searchers if contemporary academic library catalogs dropped their controlled subject headings. This paper reports on an analysis of the loss levels that would result if a bibliographic database, namely the Australian Education Index (AEI), were missing the subject descriptors and identifiers assigned by its professional indexers, employing the methodology developed by Gross and Taylor (2005), and later by Gross et al. (2015). The results indicate that AEI users would lose a similar proportion of hits per query to that experienced by library catalog users: on average, 27% of the resources found by a sample of keyword queries on the AEI database would not have been found without the subject indexing, based on the Australian Thesaurus of Education Descriptors (ATED). The paper also discusses the methodological limitations of these studies, pointing out that real-life users might still find some of the resources missed by a particular query through follow-up searches, while additional resources might also be found through iterative searching on the subject vocabulary. The paper goes on to describe a new research design, based on a before - and - after experiment, which addresses some of these limitations. It is argued that this alternative design will provide a more realistic picture of the value that professionally assigned subject indexing and controlled subject vocabularies can add to literature searching of a more scholarly and thorough kind.
    Type
    a
  4. Hider, P.: ¬The search value added by professional indexing to a bibliographic database (2018) 0.09 
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    Abstract
    Gross et al. (2015) have demonstrated that about a quarter of hits would typically be lost to keyword searchers if contemporary academic library catalogs dropped their controlled subject headings. This article reports on an investigation of the search value that subject descriptors and identifiers assigned by professional indexers add to a bibliographic database, namely the Australian Education Index (AEI). First, a similar methodology to that developed by Gross et al. (2015) was applied, with keyword searches representing a range of educational topics run on the AEI database with and without its subject indexing. The results indicated that AEI users would also lose, on average, about a quarter of hits per query. Second, an alternative research design was applied in which an experienced literature searcher was asked to find resources on a set of educational topics on an AEI database stripped of its subject indexing and then asked to search for additional resources on the same topics after the subject indexing had been reinserted. In this study, the proportion of additional resources that would have been lost had it not been for the subject indexing was again found to be about a quarter of the total resources found for each topic, on average.
    Type
    a
  5. Shewale, N.G.: Information delivery of full-text databases in academic and research libraries using hypermedia (1998) 0.09 
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    Source
    Information management in academic and research libraries: Proceedings of the 5th National convention for Automation of Libraries in Education and Research (CALIBER-98), Bhubaneswar, India, 4-5 March 1998. Ed. by M. Mahapatra et al
    Type
    a
  6. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.02 
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    Abstract
    Describes SIFT (Search in Free Text) an information retrieval system originally developed for administering governmental documents in Norway but which is now being applied alsewhere. SIFT handles structured information well. A library system, SIFT-BIBL, is now available. SIFT's retrieval engine and search facilities are powerful. Its user interface is limited but being imporved. An application programmer interface has been released which will allow programmers to develop their own interface. A Windows-based- client-server version is now being beta tested
    Date
    23. 1.1999 19:22:09
    Type
    a
  7. Reinisch, F.: Wer suchet - der findet? : oder Die Überwindung der sprachlichen Grenzen bei der Suche in Volltextdatenbanken (2000) 0.01 
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    Date
    22. 7.2000 17:48:06
    Type
    a
  8. Zillmann, H.: OSIRIS und eLib : Information Retrieval und Search Engines in Full-text Databases (2001) 0.01 
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    Date
    14. 6.2001 12:22:31
    Type
    a
  9. Dambeck, H.; Engler, T.: Gesucht und gefunden : Neun Volltext-Suchprogramme für den Desktop (2002) 0.01 
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    Source
    c't. 2002, H.22, S.190-197
    Type
    a
  10. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.01 
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    Abstract
    Searches conducted as part of the MEDLINE/Full-Text Research Project revealed that the full-text data bases of clinical medical journal articles (CCML (Comprehensive Core Medical Library) from BRS Information Technologies, and MEDIS from Mead Data Central) did not retrieve all the relevant citations. An analysis of the data indicated that 204 relevant citations were retrieved only by MEDLINE. A comparison of the strategies used on the full-text data bases with the text of the articles of these 204 citations revealed that 2 reasons contributed to these failure. The searcher often constructed a restrictive strategy which resulted in the loss of relevant documents; and as in other kinds of retrieval, the problems of natural language caused the loss of relevant documents.
    Date
    9. 1.1996 10:22:31
  11. Kristensen, J.; Järvelin, K.: ¬The effectiveness of a searching thesaurus in free-text searching in a full-text database (1990) 0.00 
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  12. Bernstein, L.M.; Williamson, R.E.: Testing of a natural language retrieval system for a full text knowledge base (1984) 0.00 
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  13. Marcus, J.: Everyone's a futurist : full text year in review - 1994 (1994) 0.00 
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  14. Kristensen, J.: Expanding end-users' query statements for free text searching with a search-aid thesaurus (1993) 0.00 
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    Abstract
    Tests the effectiveness of a thesaurus as a search-aid in free text searching of a full text database. A set of queries was searched against a large full text database of newspaper articles. The thesaurus contained equivalence, hierarchical and associative relationships. Each query was searched in five modes: basic search, synonym search, narrower term search, related term search, and union of all previous searches. The searches were analyzed in terms of relative recall and precision
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    a
  15. White, F.: ISYS 3.01 : a review (1993) 0.00 
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    Abstract
    Reviews ISYS, a full text retrieval system from Odyssey developments. ISYS supports a wide variety of wordprocessor, text and spreadsheet formats. A programming interface is included for developers to integrate ISYS into their own applications. Describes how to use ISYS to create a database index for a set of documents and then query that index to locate, retrieve and display information from the indexed documents. Discusses configuration options, precedence of operators, displaying and manipulating search results, the advanced menu, ease of learning and use, documentation and library applications
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    a
  16. Tenopir, C.: Full text database retrieval performance (1985) 0.00 
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  17. Ojala, M.: Research into full-text retrieval (1990) 0.00 
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  18. Sievert, M.C.: Full-text information retrieval : introduction (1996) 0.00 
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    Abstract
    Introduces a special section devoted to full text information retrieval. Gives an overview of full text databases and research into them. There is a lack of a single definition of full text. Articles in the library related literature about full text have appeared with increasing frequnecy
    Type
    a
  19. Hildreth, C.R.: ¬The use and understanding of keyword searching in a university online catalog (1997) 0.00 
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  20. Dubois, C.P.R.: Free text vs. controlled vocabulary; a reassessment (1987) 0.00 
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    Abstract
    Free text and controlled vocabulary searching can no longer be viewed as antagonistic techniques in information retrieval since they both display advantages and weaknesses dependent on a fairly wide range of context, with the option to use both increasingly favoured. An attempt is made to present a list of features associated with the two techniques and to suggest a methodology to assist in deciding on the optimal retrieval technique for a particular purpose. The relevance of the techniques in expert systems and full text contexts is also discussed. Finally, recommendations for further research are suggested, concentrating on survey techniques in real-life retrieval situations
    Type
    a

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