Search (111 results, page 1 of 6)

  • × theme_ss:"Volltextretrieval"
  1. Ojala, M.: Research into full-text retrieval (1990) 0.03 
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  2. Calkins, M.: Free text or controlled vocabulary? (1980) 0.02 
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  3. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.02 
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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
    Type
    a
  4. Reinisch, F.: Wer suchet - der findet? : oder Die Überwindung der sprachlichen Grenzen bei der Suche in Volltextdatenbanken (2000) 0.02 
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    Date
    22. 7.2000 17:48:06
    Type
    a
  5. 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
    Type
    a
  6. Dambeck, H.; Engler, T.: Gesucht und gefunden : Neun Volltext-Suchprogramme für den Desktop (2002) 0.02 
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    Source
    c't. 2002, H.22, S.190-197
    Type
    a
  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) 0.01 
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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
  8. Molto, M.: Improving full text search performance through textual analysis (1993) 0.01 
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    Abstract
    Explores the potential of text analysis as a tool in full text search and design improvement. Reports on a trial analysis performed in the domain of family history. The findings offered insights into possible gains and losses in using one search or design strategy versus another and strong evidence was provided to the potential of text analysis. Makes search and design recommendation
    Type
    a
  9. Melucci, M.: Passage retrieval : a probabilistic technique (1998) 0.01 
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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
    Type
    a
  10. Witt, M.: Au sujet des mots-clés (1997) 0.01 
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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
    Type
    a
  11. Couvreur, T.R.; Benzel, R.N.; Miller, S.F.; Zeitler, D.N.; Lee, D.L.; Singhal, M.; Shivaratri, N.; Wong, W.Y.P.: ¬An analysis of performance and cost factors in searching large text databases using parallel search systems (1994) 0.01 
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    Abstract
    The results of modelling the performance of searching large text databases (>10 GBytes) via various parallel hardware architectures and search algorithms are discussed. The performance under load and the cost of each configuration are compared. Strengths, weaknesses, performance sensitivities, and search features supported for each configuration are also addressed. In addition, a common search workload used in the modelling is described. The search workload is derived from a set of searches run against the Chemical Abstracts file of bibliographic and abstract text available on STN International. This common workload is applied to all configurations modelled to provide a common basis of comparison
    Type
    a
  12. 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
    Type
    a
  13. Bernard, M.: Modelling the efficient access to full-text information (1996) 0.01 
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    Abstract
    Describes a research goal set by many offices within the US Department of Energy. Reviews efficient full text searching techniques being developed to better understand and meet this goal. Classical computer human interaction (CHI) approaches provided by commercial information retrieval engines fail to contextualize information in ways that facilitates timely decision making. Discusses the uses of advanced CHI techniques in combination with deductive database technology to augment the weaknesses found in the presentation capabilities of information retrieval engines. Presents various techniques employed in a WWW based prototype system currently under development
    Type
    a
  14. Casale, M.: Full text retrieval for the Web (1996) 0.01 
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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
    Type
    a
  15. 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
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    a
  16. Shewale, N.G.: Information delivery of full-text databases in academic and research libraries using hypermedia (1998) 0.01 
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    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
    Type
    a
  17. 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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  18. Tenopir, C.; Ro, J.S.: Full text databases (1990) 0.01 
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  19. Rösener, C.: ¬Die Stecknadel im Heuhaufen : Natürlichsprachlicher Zugang zu Volltextdatenbanken (2005) 0.01 
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    Content
    5: Interaktion 5.1 Frage-Antwort- bzw. Dialogsysteme: Forschungen und Projekte 5.2 Darstellung und Visualisierung von Wissen 5.3 Das Dialogsystem im Rahmen des LeWi-Projektes 5.4 Ergebnisdarstellung und Antwortpräsentation im LeWi-Kontext 6: Testumgebungen und -ergebnisse 7: Ergebnisse und Ausblick 7.1 Ausgangssituation 7.2 Schlussfolgerungen 7.3 Ausblick Anhang A Auszüge aus der Grob- bzw. Feinklassifikation des BMM Anhang B MPRO - Formale Beschreibung der wichtigsten Merkmale ... Anhang C Fragentypologie mit Beispielsätzen (Auszug) Anhang D Semantische Merkmale im morphologischen Lexikon (Auszug) Anhang E Regelbeispiele für die Fragentypzuweisung Anhang F Aufstellung der möglichen Suchen im LeWi-Dialogmodul (Auszug) Anhang G Vollständiger Dialogbaum zu Beginn des Projektes Anhang H Statuszustände zur Ermittlung der Folgefragen (Auszug)
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    m
  20. 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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    Type
    a

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