Search (70 results, page 1 of 4)

  • × year_i:[1990 TO 2000}
  • × theme_ss:"Volltextretrieval"
  1. Stegentritt, E.: EMIR: Multilinguales Freitextretrieval Projekt (1992) 0.02
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    Pages
    S.179-186
    Source
    Mensch und Maschine: Informationelle Schnittstellen der Kommunikation. Proc. des 3. Int. Symposiums für Informationswissenschaft (ISI'92), 5.-7.11.1992 in Saarbrücken. Hrsg.: H.H. Zimmermann, H.-D. Luckhardt u. A. Schulz
    Type
    a
  2. Kristensen, J.; Järvelin, K.: ¬The effectiveness of a searching thesaurus in free-text searching in a full-text database (1990) 0.02
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    Source
    International classification. 17(1990), S.77-84
    Type
    a
  3. Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994) 0.02
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    Pages
    S.265-275
    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
    Type
    a
  4. Basch, R.: Searching full-text : tips and techniques (1992) 0.01
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    Abstract
    Gives tips for effective searching of full-text databases: think creatively about vocabulary and use of the OR connector to link synonyms; use truncation to pick up plurals and alternative work endings; anticipate international differences in spellimg, likie 'labor' and 'labour', and in vocabulary, like 'truck' and 'lorry'; avoid the AND operator, preferring proximity connectors like NEAR, WITHIN or PRE; use jargon instead of trying to anticipate all the abstract terminology that a writer might have used; and exploit any indexing available
    Source
    Information today. 9(1992) no.10, S.10-12
    Type
    a
  5. 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
    Source
    New review of document and text management. 1995, no.1, S.63-83
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  6. Basch, R.: ¬Die sieben Todsünden der Volltextrecherche (1990) 0.01
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    Footnote
    dt. Übers. - Original in: Database Nr.8(1989) S.15-23
    Source
    Nachrichten für Dokumentation. 41(1990), S.229-235
    Type
    a
  7. 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
    Type
    a
  8. Pirkola, A.; Jarvelin, K.: ¬The effect of anaphor and ellipsis resolution on proximity searching in a text database (1995) 0.01
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    Abstract
    So far, methods for ellipsis and anaphor resolution have been developed and the effects of anaphor resolution have been analyzed in the context of statistical information retrieval of scientific abstracts. No significant improvements has been observed. Analyzes the effects of ellipsis and anaphor resolution on proximity searching in a full text database. Anaphora and ellipsis are classified on the basis of the type of their correlates / antecedents rather than, as traditional, on the basis of their own linguistic type. The classification differentiates proper names and common nouns of basic words, compound words, and phrases. The study was carried out in a newspaper article database containing 55.000 full text articles. A set of 154 keyword pairs in different categories was created. Human resolution of keyword ellipsis and anaphora was performed to identify sentences and paragraphs which would match proximity searches after resolution. Findings indicate that ellipsis and anaphor resolution is most relevant for proper name phrases and only marginal in the other keyword categories. Therefore the recall effect of restricted resolution of proper name phrases only was analyzed for keyword pairs containing at least 1 proper name phrase. Findings indicate a recall increase of 38.2% in sentence searches, and 28.8% in paragraph searches when proper name ellipsis were resolved. The recall increase was 17.6% sentence searches, and 19.8% in paragraph searches when proper name anaphora were resolved. Some simple and computationally justifiable resolution method might be developed only for proper name phrases to support keyword based full text information retrieval. Discusses elements of such a method
    Source
    Information processing and management. 32(1996) no.2, S.199-216
    Type
    a
  9. Kuhlen, R.; Hess, M.S.: Passagen-Retrieval : auch eine Möglichkeit der automatischen Verknüpfung in Hypertexten (1993) 0.01
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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.
    Pages
    17 S
    Type
    r
  10. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.01
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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
    Source
    Library technology news. 9(1993), S.3-4
    Type
    a
  11. Freiburg, J.: Richtig suchen! : Textrecherche mit askSam (1995) 0.01
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    Source
    In'side Multimedia. 1995, H.8, S.68-70
    Type
    a
  12. Falk, H.: Building and using document databases (1998) 0.01
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    Source
    Electronic library. 16(1998) no.1, S.55-59
    Type
    a
  13. Falk, H.: Document file searching (1998) 0.00
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    Source
    Electronic library. 16(1998) no.3, S.199-203
    Type
    a
  14. Baguhn, J.: Volltextretrieval : stürmische Entwicklungen (1995) 0.00
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    Language
    a
    Source
    Cogito. 11(1995) H.5, S.62-63
    Type
    a
  15. Turtle, H.; Flood, J.: Query evaluation : strategies and optimizations (1995) 0.00
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    Abstract
    Discusses the 2 major query evaluation strategies used in large text retrieval systems and analyzes the performance of these strategies. Discusses several optimization techniques that can be used to reduce evaluation costs and present simulation results to compare the performance of these optimization techniques when evaluating natural language queries with a collection of full text legal materials
    Source
    Information processing and management. 31(1995) no.6, S.831-850
    Type
    a
  16. Paijmans, H.: Gravity wells of meaning : detecting information rich passages in scientific texts (1997) 0.00
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    Abstract
    Presents research in which 4 term weigthing schemes were used to detect information rich passages in texts and the results compared. Demonstrates that word categories and frequency derived weights have a close correlation but that weighting according to the first mention theory or the cue method shows no correlation with frequency based weights
    Source
    Journal of documentation. 53(1997) no.5, S.520-536
    Type
    a
  17. Palos, S.: Indexierung, Volltextrecherche und digital Text-Dossiers (1999) 0.00
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    Source
    nfd Information - Wissenschaft und Praxis. 50(1999) H.7, S.413-419
    Type
    a
  18. Albus, W.; Smulders, H.: Doeltreffend zoeken in volledige teksten : 1. full-text retrieval bij de HavenInformatieBank (1998) 0.00
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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
    Source
    Informatie professional. 2(1998) no.2, S.17-21
    Type
    a
  19. Albus, W.; Smulders, H.: Doeltreffend zoeken in volledige teksten : 2. full-text retrieval bij de HavenInformatieBank (1998) 0.00
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    Abstract
    At Rotterdam Port Authority an information database has been created with approx. 100.000 full text documents online. Topic software has been used to identify word groups and refine search strategies to optimize precision and recall. The software guides users from selected terms to other relevant word combinations. Although the system would benefit from further refinement, users are generally satisfied. The database includes a number of foreign language documents but lacks a thesaurus of foreign terms
    Source
    Informatie professional. 2(1998) no.3, S.28-33
    Type
    a
  20. Voorbij, H.: Title keywords and subject descriptors : a comparison of subject search entries of books in the humanities and social sciences (1998) 0.00
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    Abstract
    In order to compare the value of subject descriptors and title keywords as entries to subject searches, two studies were carried out. Both studies concentrated on monographs in the humanities and social sciences, held by the online public access catalogue of the National Library of the Netherlands. In the first study, a comparison was made by subject librarians between the subject descriptors and the title keywords of 475 records. They could express their opinion on a scale from 1 (descriptor is exactly or almost the same as word in title) to 7 (descriptor does not appear in title at all). It was concluded that 37 per cent of the records are considerably enhanced by a subject descriptor, and 49 per cent slightly or considerably enhanced. In the second study, subject librarians performed subject searches using title keywords and subject descriptors on the same topic. The relative recall amounted to 48 per cent and 86 per cent respectively. Failure analysis revealed the reasons why so many records that were found by subject descriptors were not found by title keywords. First, although completely meaningless titles hardly ever appear, the title of a publication does not always offer sufficient clues for title keyword searching. In those cases, descriptors may enhance the record of a publication. A second and even more important task of subject descriptors is controlling the vocabulary. Many relevant titles cannot be retrieved by title keyword searching because of the wide diversity of ways of expressing a topic. Descriptors take away the burden of vocabulary control from the user.
    Source
    Journal of documentation. 54(1998) no.4, S.466-476
    Type
    a

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