Search (50 results, page 1 of 3)

  • × language_ss:"e"
  • × theme_ss:"Volltextretrieval"
  • × type_ss:"a"
  1. Salton, G.: Another look at automatic text-retrieval systems (1986) 0.03
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    Footnote
    Bezugnahme auf: Blair, D.C.: An evaluation of retrieval effectiveness for a full-text document-retrieval system. Comm. ACM 28(1985) S.280-299. - Vgl. auch: Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23; Blair, D.C., M.E. Maron: full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
    Source
    Communications of the Association for Computing Machinery. 29(1986), S.648-656
  2. Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985) 0.03
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    Footnote
    Vgl. auch : Salton, G.: Another look ... Comm. ACM 29(1986) S.S.648-656; Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23: Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. proc. man. 26(1990) S.437-447.
  3. 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
  4. Blair, D.C.: Full text retrieval : Evaluation and implications (1986) 0.02
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    Abstract
    Recently, a detailed evaluation of a large, operational full-text document retrieval system was reported in the literature. Values of precision and recall were estimated usind traditional statistical sampling methods and blind evaluation procedures. The results of this evaluation demonstrated that the system tested was retrieving less then 20% of the relevant documents when the searchers believed it was retrieving over 75% of the relevant documents. This evaluation is described including some data not reported in the original article. Also discussed are the implications which this study has for how the subjects of documents should be represented, as well as the importance of rigorous retrieval evaluations for the furtherhance of information retrieval research
    Footnote
    Vgl.: Blair, D.C., M.E. Maron: An evaluation ... Comm. ACM 28(1985) S.280-299; Salton, G.: Another look ... Comm. ACM 29(1986) S.648-656; Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
  5. Tenopir, C.: Full text database retrieval performance (1985) 0.01
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  6. Ojala, M.: Research into full-text retrieval (1990) 0.01
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  7. Mallinson, P.: Developments in free text retrieval systems (1993) 0.01
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    Abstract
    Describes a typical traditional 1989 free text system and discusses developments in data storage, in search strategy and in the storage and retrieval of real time data. Outlines the following areas in which free text systems are likely to develop: standards; integration; dynamic data exchange; improved user interfaces; and better retrieval methods
  8. Tauchert, W.; Hospodarsky, J.; Krause, J.; Schneider, C.; Womser-Hacker, C.: Effects of linguistic functions on information retrieval in a German language full-text database : comparison between retrieval in abstract and full text (1991) 0.01
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  9. Ro, J.S.: ¬An evaluation of the applicability of ranking algorithms to improve the effectiveness of full-text retrieval : 1. On the effectiveness of full-text retrieval (1988) 0.01
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  10. Allen, E.E.: Searching, naturally (1998) 0.01
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    Source
    Internet reference services quarterly. 3(1998) no.2, S.75-81
    Theme
    Internet
  11. Frederick, S.C.: SIRE: full-text retrieval with augmented search (1985) 0.01
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  12. Ashford, J.H.: Full text retrieval in document management : a review (1995) 0.01
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    Abstract
    Full text management which applied to document management tends to be centred on text storage and retrieval. Recent developments are concerned with integration with relational database management system products to deliver document management services offering both the flexibility of text retrieval and the ability to support process based funnctions. There has been a move towards client server architectures, more user friendly user interfaces and more flexible and easier to understand retrieval. Advocates caution in choosing tasks for full text methods. Identifies document management functions for which the combined use of database management systems or special purpose tools should be considered
  13. Sieverts, E.G.; Hofstede, M.; Groeniger, B.O.: Software for information storage and retrieval tested, evaluated and compared : pt.4: indexing and full-text retrieval programs (1992) 0.01
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    Abstract
    In this article, the fourth in a series on microcomputer software for information storage and retrieval, test results of six indexing and full-text retrieval programs are presented and various properties and qualities of these programs are discussed. The common faeture of programs in these categories is that they are primarily meant to retrieve words (or combination of them) in large text files. To do this they either simply index existing text files in one or more formats (indexing programs), or they store and index them in their own database format (full-text retrieval programs). The programs reviewed in this issue are the indexing programs Ask-it, Texplore and ZYindex and the full-text retrieval programs KAware, textMaster and WordCruncher. All programs run under MS-DOS. In addition ZYindex has a Windows and a Unix version and TextMaster is also available for for Unix. For each of the six programs almost 100 facts and test results are tabulated. The programs are also discussed individually
  14. Sievert, M.C.: Full-text information retrieval : introduction (1996) 0.01
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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
  15. Markey, K.; Atherton, P.; Newton, C.: ¬An analysis of controlled vocabulary and free text search statements in online searches (1980) 0.01
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    Theme
    Verbale Doksprachen im Online-Retrieval
  16. Bernstein, L.M.; Williamson, R.E.: Testing of a natural language retrieval system for a full text knowledge base (1984) 0.01
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  17. Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994) 0.01
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  18. Sievert, M.E.C.: Full-text information retrieval : an introduction (1996) 0.01
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  19. Magennis, M.: Expert rule-based query expansion (1995) 0.01
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    Abstract
    Examines how, for term based free text retrieval, Interactive Query Expansion (IQE) provides better retrieval performance tahn Automatic Query Expansion (AQE) but the performance of IQE depends on the strategy employed by the user to select expansion terms. The aim is to build an expert query expansion system using term selection rules based on expert users' strategies. It is expected that such a system will achieve better performance for novice or inexperienced users that either AQE or IQE. The procedure is to discover expert IQE users' term selection strategies through observation and interrogation, to construct a rule based query expansion (RQE) system based on these and to compare the resulting retrieval performance with that of comparable AQE and IQE systems
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  20. Dubois, C.P.R.: Free text vs. controlled vocabulary; a reassessment (1987) 0.01
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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