Search (56 results, page 1 of 3)

  • × theme_ss:"Volltextretrieval"
  1. Melucci, M.: Passage retrieval : a probabilistic technique (1998) 0.04
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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
  2. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.04
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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
  3. Casale, M.: Full text retrieval for the Web (1996) 0.03
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    Abstract
    Reviews developments and improvements in techniques for searching the WWW that have been made access to full text databases a practical proposition (full text retrieval (FTR)). Reports results of interviews with 8 full text database vendors offering FTR via the WWW: Dataware (http://www.dataware.com); Excalibur (http://www.excalib.com); Fulcrum (http://www.fulcrum.com); Muscat (http://www.muscat.co.uk); Open Text (http://www.opentext.com); Personal Library Software (PLS) (http://www.pls.com); Verity (http://www.verity.com); and ZyLab (ZyIndex and ZyImage) (http://www.zylab.com). Compares the prices of the systems and lists the questions that publishers should ask before making a choice of systems for handling FTR on the Web
  4. Albus, W.; Smulders, H.: Doeltreffend zoeken in volledige teksten : 1. full-text retrieval bij de HavenInformatieBank (1998) 0.03
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    Abstract
    At Rotterdam Ports Authority in the Netherlands the Habour information database includes a press cuttings service and various online databases. To enable research staff to have direct access to information the POINT (Point Information Net) was begun in 1993. Using Verity software POINT provides simultaneously full text searching on a range of databases. The software uses current Web indexing technqiues to overcome the problems of excessive recall and low precision. A key element is the system's ability to recognise word combinations
    Footnote
    Übers. d. Titels: Effective searching on full texts: 1. full-text-retrieval on the Harbour information database
  5. Zillmann, H.: OSIRIS und eLib : Information Retrieval und Search Engines in Full-text Databases (2001) 0.03
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    Date
    14. 6.2001 12:22:31
  6. Salton, G.: Another look at automatic text-retrieval systems (1986) 0.02
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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.
  7. 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
  8. Tenopir, C.: Full text database retrieval performance (1985) 0.02
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  9. Ojala, M.: Research into full-text retrieval (1990) 0.02
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  10. Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985) 0.02
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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.
  11. Full-text retrieval (1996) 0.02
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    Abstract
    A special section devoted to full text information retrieval
  12. Mallinson, P.: Developments in free text retrieval systems (1993) 0.02
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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
  13. Wenzel, F.: Semantische Eingrenzung im Freitext-Retrieval auf der Basis morphologischer Segmentierungen (1980) 0.02
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    Abstract
    The basic problem in freetext retrieval is that the retrieval language is not properly adapted to that of the author. Morphological segmentation, where words with the same root are grouped together in the inverted file, is a good eliminator of noise and information loss, providing high recall but low precision
  14. 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) 0.02
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  15. 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) 0.02
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  16. Frederick, S.C.: SIRE: full-text retrieval with augmented search (1985) 0.01
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  17. 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
  18. 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
  19. 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
  20. 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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Years

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