Search (87 results, page 2 of 5)

  • × theme_ss:"Volltextretrieval"
  1. 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) 0.00
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    Series
    Case studies in library automation; no.1
  2. Free text in information systems: capabilities and limitations (1985) 0.00
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    Footnote
    Diese Empfehlungen liegen auch in deutscher Übersetzung vor (abgedruckt ebenfalls in International classification), leider ist die Übersetzung nicht in allen Aussagen recht gelungen, so daß das Original vorzuziehen ist
  3. 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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  4. Mallinson, P.: Developments in free text retrieval systems (1993) 0.00
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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
  5. Kramer, A.: Datendetektive : Volltextsuchmaschinen trotzen dem Chaos auf der Festplatte (2004) 0.00
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    Abstract
    Wo war noch mal die Adressliste für das nächste Klassentreffen, wie lautet das Angebot vom Partyservice und wer hat überhaupt schon alles zugesagt? Das System braucht schon für eine einfache Recherche im Volltext aller Dateien extrem lange. Suchprogramme von Drittanbietern arbeiten nicht nur schneller, sondern auch besser
  6. Freitext in Informationssystemen (1985) 0.00
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    Footnote
    Deutsche Fassung von 'Free text in information systems' in: International classification 12(1985) H.2, S.95-98. Wegen einiger Ungereimtheiten sollte die englische Fassung benutzt werden
  7. Tenopir, C.; Ro, J.S.: Full text databases (1990) 0.00
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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
  8. Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994) 0.00
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    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
  9. Shewale, N.G.: Information delivery of full-text databases in academic and research libraries using hypermedia (1998) 0.00
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    Abstract
    Discusses the introduction of hypermedia in information delivery and its advantages. Describes the special features in the design of full text databases and steps in developing in-house hypermedia databases. It may not be the job of the library professionals to design and develop the hypermedia system for information retrieval, but their ideas and experience will play an important role
    Footnote
    Paper presented at the 5th National Convention for Automation of Libraries in Education and Research (CALIBER-98), at Bhubaneswar, 4-5 March 1998
    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
  10. Poler, E.M.: Overcoming limitations in database searches (1992) 0.00
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    Abstract
    Describes the advantages of full text databases and full text searching, particularly in the context of law databases, the drawbacks to such searching in terms of recall, precision and errors, and methods of overcoming some of these problems
  11. Marcus, J.: ¬The full text ideal (1995) 0.00
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    Abstract
    Reviews developments in full text databases in 1995. Numbers of full text databases have increased by 12%. Consumer services are offering more full text databases, as is the Internet. News feeds are increasingly being offered to corporate users. Contemplates the ideal information service and how full text databases could evolve in this environment
  12. 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) 0.00
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  13. McDonald, J.; Ghaphery, J.: Do we have this in full-text? : providing access to content in full-text aggregated databases (2000) 0.00
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  14. 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) 0.00
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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
  15. Leppanen, E.: Homografiongelma tekstihaussa ja homografien disambiguoinnin vaikutukset (1996) 0.00
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    Abstract
    Homonymy is known to often cause false drops in free text searching in a full text database. The problem is quite common and difficult to avoid in Finnish, but nobody has examined it before. Reports on a study that examined the frequency of, and solutions to, the homonymy problem, based on searches made in a Finnish full text database containing about 55.000 newspaper articles. The results indicate that homonymy is not a very serious problem in full text searching, with only about 1 search result set out of 4 containing false drops caused by homonymy. Several other reasons for nonrelevance were much more common. However, in some set results there were a considerable number of homonymy errors, so the number seems to be very random. A study was also made into whether homonyms can be disambiguated by syntactic analysis. The result was that 75,2% of homonyms were disambiguated by this method. Verb homonyms were considerably easier to disambiguate than substantives. Although homonymy is not a very big problem it could perhaps easily be eliminated if there was a suitable syntactic analyzer in the IR system
    Footnote
    Übers. d. Titels: The homonymy problem in free text searching and the results of homonymy disambiguation
  16. Marcus, J.: Everyone's a futurist : full text year in review - 1994 (1994) 0.00
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  17. 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
  18. Witt, M.: Au sujet des mots-clés (1997) 0.00
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    Abstract
    Information research using keywords is largely ignored by readers but in medium sized libraries such as that of the City of Science and Industry (Paris), with a multimedia collection of some 200.000 documents, it is the most effective tool. The reader, however, needs guidance in using this technique, and in refining searches to reduce noise. Examples are given demonstrating how keyword searches can identify non-indexed material, documents in other languages, and collective authors
  19. Pearce, C.; Nicholas, C.: TELLTALE: Experiments in a dynamic hypertext environment for degraded and multilingual data (1996) 0.00
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    Abstract
    Methods and tools for finding documents relevant to a user's needs in a document corpora can be found in the information retrieval, library science, and hypertext communities. Typically, these systems provide retrieval capabilities for fairly static copora, their algorithms are dependent on the language for which they are written, e.g. English, and they do not perform well when presented with misspelled words or text that has been degraded by OCR techniques. In this article, we present experimentation results for the TELLTALE system. TELLTALE is a dynamic hypertext environment that provides full-text search from a hypertext-style user interface for text corpora that may be garbled by OCR or transmission errors, and that may contain languages other than English. TELLTALE uses several techniques based on n-grams (n character sequences of text). With these results we show that the dynamic linkage mechanisms in TELLTALE are tolerant of garbles in up to 30% of the characters in the body of the texts
  20. Muddamalle, M.R.: Natural language versus controlled vocabulary in information retrieval : a case study in soil mechanics (1998) 0.00
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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

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