Search (74 results, page 1 of 4)

  • × theme_ss:"Volltextretrieval"
  1. Miller, C.: Standardization of full-text files on Dialog : IAC goes first (1995) 0.05 
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    Abstract
    Knight Rider Information Inc./Dialog is creating standards for full text journal databases, directories and full text reports with the aim of making multiple file searching more efficient. The 1st reloaded file adhering to the new standard was loaded in Feb. 95. This was prompted by the merger of IAC Index and ASAP files. Explains how the reload was carried out and the implications for searchers
  2. Silva, E.M. da: Comparing the use of full text search between a conventional IR System and a DBMS (2018) 0.03 
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    Series
    Advances in knowledge organization; vol.16
    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
  3. Mallinson, P.: Developments in free text retrieval systems (1993) 0.03 
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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
  4. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.03 
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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
  5. Melucci, M.: Passage retrieval : a probabilistic technique (1998) 0.02 
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    Abstract
    This paper presents a probabilistic technique to retrieve passages from texts having a large size or heterogeneous semantic content. The proposed technique is independent on any supporting auxiliary data, such as text structure, topic organization, or pre-defined text segments. A Bayesian framework implements the probabilistic technique. We carried out experiments to compare the probabilistique technique to one based on a text segmentation algorithm. In particular, the probabilistique technique is more effective than, or as effective as the one based on the text segmentation to retrieve small passages. Results show that passage size affects passage retrieval performance. Results do also suggest that text organization and query generality may have an impact on the difference in effectiveness between the two techniques
    Source
    Information processing and management. 34(1998) no.1, S.43-68
  6. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.02 
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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
    Imprint
    Medford, New Jersey : Learned Information
    Source
    ASIS'89. Managing information and technology. Proceedings of the 52nd annual meeting of the American Society for Information Science, Washington D.C., 30.10.-2.11.1989. Vol.26. Ed.by J. Katzer and G.B. Newby
  7. Zillmann, H.: OSIRIS und eLib : Information Retrieval und Search Engines in Full-text Databases (2001) 0.02 
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    Date
    14. 6.2001 12:22:31
  8. Ashford, J.H.; Matkin, D.I.: Studies in the application of free text package systems for information storage and retrieval in libraries and related information centres (1982) 0.01 
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  9. Tenopir, C.; Ro, J.S.: Full text databases (1990) 0.01 
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    Footnote
    Rez. in: Information technology and libraries. 10(1991) S.156-157 (E. Kanter)
    Series
    New directions in information management; 21
  10. Sormunen, E.: Free-text searching in full-text databases : probing system limits (1993) 0.01 
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    Imprint
    Oxford : Learned Information
    Source
    Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
  11. Full-text retrieval (1996) 0.01 
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    Abstract
    A special section devoted to full text information retrieval
    Source
    Journal of the American Society for Information Science. 47(1996) no.4, S.261-330
  12. Sievert, M.E.C.: Full-text information retrieval : an introduction (1996) 0.01 
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    Source
    Journal of the American Society for Information Science. 47(1996) no.4, S.261-262
  13. 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
    Source
    Journal of the American Society for Information Science. 47(1996) no.4, S.261-262
  14. Tenopir, C.: Full text databases (1984) 0.01 
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    Source
    Annual review of information science and technology. 19(1984), S.215-246
  15. Frederick, S.C.: SIRE: full-text retrieval with augmented search (1985) 0.01 
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    Source
    Information today. 2(1985), S.7-25
  16. Maag, D.: Leistungsmerkmale von Volltextretrievalsystemen : Anforderungen an die künftige Weiterentwicklung (1989) 0.01 
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    Imprint
    Darmstadt : Fachhochschule, Fachbereich Information und Dokumentation
  17. DiMartino, D.; Zoe, L.R.: End-user full text searching : access or excess? (1996) 0.01 
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    Source
    Library and information science research. 18(1996) no.2, S.133-150
  18. 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
  19. 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
  20. 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
    Source
    Journal of the American Society for Information Science. 49(1998) no.10, S.881-887

Authors

Years

Languages

  • e 58
  • d 12
  • nl 2
  • chi 1
  • f 1
  • More… Less…

Types

  • a 66
  • m 3
  • x 3
  • s 2
  • el 1
  • r 1
  • More… Less…

Themes

Subjects