Search (81 results, page 1 of 5)

  • × theme_ss:"Volltextretrieval"
  1. Full-text retrieval (1996) 0.10
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    Abstract
    A special section devoted to full text information retrieval
    Source
    Journal of the American Society for Information Science. 47(1996) no.4, S.261-330
  2. Sievert, M.C.: Full-text information retrieval : introduction (1996) 0.07
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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
  3. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.06
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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
  4. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.05
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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
  5. Ashford, J.H.: Full text retrieval in document management : a review (1995) 0.03
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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
    Source
    Information management and technology. 28(1995) no.1, S.28-32
  6. Tenopir, C.; Ro, J.S.: Full text databases (1990) 0.03
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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
  7. Blake, P.: Leading edge : Verity keeps it in the family (1997) 0.03
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    Abstract
    Verity Search 97 software will index and search e-mail, attachments, folders and documents on local and network disk drives. The Internet may be searched via the same front end and changes to particular documents or pages may be monitored. Documents may be viewed in their native formats including ASCII, HTML, PDF and popular word processors, with highlighted search terms. Agents may be launched into the Internet to retrieve information according to a user-specified profile. The software can index about 700 MB an hour. Describes the search technology which includes fuzzy logic and natural language. The Web version of Personal Search 97 works with Netscape Navigator or Microsoft Internet Explorer, while the Exchange version will work regardless of any attachment to an Exchange server. Search 97 Personal improves online time and access time and allows searches to be refined offline
    Source
    Information world review. 1997, no.122, S.15-16
  8. Tenopir, C.: Full text databases (1984) 0.03
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    Source
    Annual review of information science and technology. 19(1984), S.215-246
  9. Hildreth, C.R.: ¬The use and understanding of keyword searching in a university online catalog (1997) 0.02
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    Source
    Information technology and libraries. 16(1997) no.x, S.52-62
  10. Albus, W.; Smulders, H.: Doeltreffend zoeken in volledige teksten : 1. full-text retrieval bij de HavenInformatieBank (1998) 0.02
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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
  11. 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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  12. 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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    Source
    Journal of the American Society for Information Science. 39(1988), S.73-78
  13. Dubois, C.P.R.: Free text vs. controlled vocabulary; a reassessment (1987) 0.02
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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. Dow Jones unveils knowledge indexing system (1997) 0.02
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    Abstract
    Dow Jones Interactive Publishing has developed a sophisticated automatic knowledge indexing system that will allow searchers of the Dow Jones News / Retrieval service to get highly targeted results from a search in the service's Publications Library. Instead of relying on a thesaurus of company names, the new system uses a combination of that basic algorithm plus unique rules based on the editorial styles of individual publications in the Library. Dow Jones have also announced its acceptance of the definitions of 'selected full text' and 'full text' from Bibliodata's Fulltext Sources Online directory
    Source
    Advanced technology libraries. 26(1997) no.5, S.2-3
  15. Melucci, M.: Passage retrieval : a probabilistic technique (1998) 0.02
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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
  16. Schmidt, J.: Full-text searching : as seen from a non-bibliographic searcher's point of view (1989) 0.02
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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
  17. Böhle, K.; Riehm, U.: German fulltexts in working contexts : empirical findings on how end-users make use of fulltext databases (1989) 0.02
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    Imprint
    Oxford : Learned Information
    Source
    Online Information 89. Proceedings of the 13th International Online Information Meeting, London, 12-14 December 1989
  18. Bernard, M.: Modelling the efficient access to full-text information (1996) 0.02
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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
    Imprint
    Medford, NJ : Information Today
  19. Albus, W.; Smulders, H.: Doeltreffend zoeken in volledige teksten : 2. full-text retrieval bij de HavenInformatieBank (1998) 0.02
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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
    Footnote
    Übers. d. Titels: Effective searching on full texts: 1. full-text-retrieval on the Harbour information database
  20. Pirkola, A.; Jarvelin, K.: ¬The effect of anaphor and ellipsis resolution on proximity searching in a text database (1995) 0.02
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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

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