Search (85 results, page 2 of 5)

  • × theme_ss:"Volltextretrieval"
  1. 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
  2. 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
  3. Rösener, C.: ¬Die Stecknadel im Heuhaufen : Natürlichsprachlicher Zugang zu Volltextdatenbanken (2005) 0.01
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    Abstract
    Die Möglichkeiten, die der heutigen Informations- und Wissensgesellschaft für die Beschaffung und den Austausch von Information zur Verfügung stehen, haben kurioserweise gleichzeitig ein immer akuter werdendes, neues Problem geschaffen: Es wird für jeden Einzelnen immer schwieriger, aus der gewaltigen Fülle der angebotenen Informationen die tatsächlich relevanten zu selektieren. Diese Arbeit untersucht die Möglichkeit, mit Hilfe von natürlichsprachlichen Schnittstellen den Zugang des Informationssuchenden zu Volltextdatenbanken zu verbessern. Dabei werden zunächst die wissenschaftlichen Fragestellungen ausführlich behandelt. Anschließend beschreibt der Autor verschiedene Lösungsansätze und stellt anhand einer natürlichsprachlichen Schnittstelle für den Brockhaus Multimedial 2004 deren erfolgreiche Implementierung vor
    Content
    Enthält die Kapitel: 2: Wissensrepräsentation 2.1 Deklarative Wissensrepräsentation 2.2 Klassifikationen des BMM 2.3 Thesauri und Ontologien: existierende kommerzielle Software 2.4 Erstellung eines Thesaurus im Rahmen des LeWi-Projektes 3: Analysekomponenten 3.1 Sprachliche Phänomene in der maschinellen Textanalyse 3.2 Analysekomponenten: Lösungen und Forschungsansätze 3.3 Die Analysekomponenten im LeWi-Projekt 4: Information Retrieval 4.1 Grundlagen des Information Retrieval 4.2 Automatische Indexierungsmethoden und -verfahren 4.3 Automatische Indexierung des BMM im Rahmen des LeWi-Projektes 4.4 Suchstrategien und Suchablauf im LeWi-Kontext
    RSWK
    Volltextdatenbank / Natürlichsprachiges System
    Subject
    Volltextdatenbank / Natürlichsprachiges System
  4. 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
    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
  5. 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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  6. 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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    Source
    Journal of the American Society for Information Science. 39(1988), S.73-78
  7. Wenzel, F.: Semantische Eingrenzung im Freitext-Retrieval auf der Basis morphologischer Segmentierungen (1980) 0.01
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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
  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. 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
  10. 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
  11. Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994) 0.01
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    Imprint
    Medford, NJ : Learned information
  12. 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
  13. 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
  14. Moukdad, H.; Large, A.: Information retrieval from full-text arabic databases : can search engines designed for English do the job? (2001) 0.01
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  15. Albus, W.; Smulders, H.: Doeltreffend zoeken in volledige teksten : 1. full-text retrieval bij de HavenInformatieBank (1998) 0.01
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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
  16. Tenopir, C.: Full-text retrieval : systems and files (1994) 0.00
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    Abstract
    State of the art review of the development of full text databases, encompassing: types of commercially available full text databases; online systems for full text databases; CD-ROM databases for full text databases; full text databases on magnetic discs or tapes; creation of full text databases; searching and display requirements for full text searching and software. Concludes that bibliographic information services without full text support solve only half of the retrieval problems
  17. Schmidt, J.: Full-text searching : as seen from a non-bibliographic searcher's point of view (1989) 0.00
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    Abstract
    Examines searching capabilities and search results relating to the same full text data base made available by: a host that offers a command language designed for searching bibliographic data bases and a host that provides search facilities that have been specially designed for full text retrieval. Moreover, the CD-ROM format of an encyclopedia is compared with the equivalent on-line version of the same work, Academic American Encyclopedia. Results reveal that it is easier to search on those systems that offer searching facilities which have been specially designed for full text retrieval.
    Imprint
    Oxford : Learned Information
    Source
    Online Information 89. Proceedings of the 13th International Online Information Meeting, London, 12-14 December 1989
  18. Meunier, J.-G.; Bertrand-Gastaldy, S.; Lebel, H.: ¬A call for enhanced representation of content as a means of improving online full-text retrieval (1987) 0.00
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    Abstract
    Given the phenomena of growth and diversification which affect both text databases and their users, it is essential to reflect on the nature of textual information and its representation within the very particular framework of interactive retrieval systems. The latter aim to correlate two types of conceptual structures, that of the user and that of the text, by way of a third structure - the interface. A typology of levels, of representation is proposed (typographical, lexical, statistical, linguistic, semiotic, and pragmatic). These representations, obtained by means of a multiplicity of strategies (intra-sentence, intratextual, intertextual) applied to different units of information and interrelated, render the interaction between diverse users and the database more flexible and more adaptable
  19. Kuhlen, R.; Hess, M.S.: Passagen-Retrieval : auch eine Möglichkeit der automatischen Verknüpfung in Hypertexten (1993) 0.00
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    Abstract
    Das Passagen-Retrieval erlaubt explorierendes Navigieren in Volltextdatenbanken, aber auch in textorientierten Hypertextbasen. Es wird experimentell an fünf, im Information Retrieval geläufigen Assoziationskoeffizienten überprüft, inwieweit mit ihnen Textpassagen, gewonnen aus der Konversion von Absätzen aus einer Buchvorlage (Hypertextbuch von R. Kuhlen, 1991b), automatisch verknüpft werden können. Voraussetzung für die Anwendung der Maße ist eine Volltextinvertierung mit linguistisch abgesicherter Stammformenreduktion. Die Ergebnisse, gewonnen aus der Bewertung der Verknüpfungsangebote entsprechend den Berechnungen nach den fünf Koeffizienten und aus dem Vergleich mit einer intellektuellen Verknüpfungsvorgabe, zeigen eine deutliche Präferenz zugunsten des Asymmetrie-Maßes, das vielleicht noch durch eine Kombination mit dem Cosinus-Maß verbessert werden könnte. Die automatisch erstellten Verknüpfungsangebote sind sowohl im Autoren-Modus zur Unterstützung des Aufbaus von Hypertextbasen sinnvoll als auch im Lese-Modus als Möglichkeit des assoziativen Navigierens in großen Hypertextbasen verwendbar.
  20. Melucci, M.: Passage retrieval : a probabilistic technique (1998) 0.00
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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

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