Search (3921 results, page 1 of 197)

  • × year_i:[2000 TO 2010}
  1. Lim, E.: Southeast Asian subject gateways : an examination of their classification practices (2000) 0.10
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    Date
    22. 6.2002 19:42:47
    Source
    International cataloguing and bibliographic control. 29(2000) no.3, S.45-48
    Theme
    Klassifikationssysteme im Online-Retrieval
  2. Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003) 0.10
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    Date
    14. 8.2005 14:22:22
    Source
    Information retrieval. 6(2003) no.1, S.99-150
  3. Buckley, C.; Voorhees, E.M.: Retrieval system evaluation (2005) 0.08
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  4. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.08
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    Abstract
    By the explosion of possibilities for a ubiquitous content production, the information overload problem reaches the level of complexity which cannot be managed by traditional modelling approaches anymore. Due to their pure syntactical nature traditional information retrieval approaches did not succeed in treating content itself (i.e. its meaning, and not its representation). This leads to a very low usefulness of the results of a retrieval process for a user's task at hand. In the last ten years ontologies have been emerged from an interesting conceptualisation paradigm to a very promising (semantic) modelling technology, especially in the context of the Semantic Web. From the information retrieval point of view, ontologies enable a machine-understandable form of content description, such that the retrieval process can be driven by the meaning of the content. However, the very ambiguous nature of the retrieval process in which a user, due to the unfamiliarity with the underlying repository and/or query syntax, just approximates his information need in a query, implies a necessity to include the user in the retrieval process more actively in order to close the gap between the meaning of the content and the meaning of a user's query (i.e. his information need). This thesis lays foundation for such an ontology-based interactive retrieval process, in which the retrieval system interacts with a user in order to conceptually interpret the meaning of his query, whereas the underlying domain ontology drives the conceptualisation process. In that way the retrieval process evolves from a query evaluation process into a highly interactive cooperation between a user and the retrieval system, in which the system tries to anticipate the user's information need and to deliver the relevant content proactively. Moreover, the notion of content relevance for a user's query evolves from a content dependent artefact to the multidimensional context-dependent structure, strongly influenced by the user's preferences. This cooperation process is realized as the so-called Librarian Agent Query Refinement Process. In order to clarify the impact of an ontology on the retrieval process (regarding its complexity and quality), a set of methods and tools for different levels of content and query formalisation is developed, ranging from pure ontology-based inferencing to keyword-based querying in which semantics automatically emerges from the results. Our evaluation studies have shown that the possibilities to conceptualize a user's information need in the right manner and to interpret the retrieval results accordingly are key issues for realizing much more meaningful information retrieval systems.
    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  5. Thompson, P.: Looking back: on relevance, probabilistic indexing and information retrieval (2008) 0.07
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    Abstract
    Forty-eight years ago Maron and Kuhns published their paper, "On Relevance, Probabilistic Indexing and Information Retrieval" (1960). This was the first paper to present a probabilistic approach to information retrieval, and perhaps the first paper on ranked retrieval. Although it is one of the most widely cited papers in the field of information retrieval, many researchers today may not be familiar with its influence. This paper describes the Maron and Kuhns article and the influence that it has had on the field of information retrieval.
    Date
    31. 7.2008 19:58:29
  6. Enser, P.G.B.: Visual image retrieval (2008) 0.07
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    Date
    22. 1.2012 13:01:26
  7. Bowman, J.H.: ¬The catalog as barrier to retrieval : Part 1: hyphens and ampersands in titles (2000) 0.07
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    Abstract
    An Internet survey of 38 different OPAC systems, at eighty different libraries, was undertaken to investigate the effect on retrieval of the presence of the hyphen or the ampersand in titles. Title and Keyword searches were performed. In Title search, 22 of the systems treat the hyphen as equivalent to a space, while in Keyword the number is 16. The other systems treat it in various different ways (even including the equivalent of NOT), which means that results of searching multiple catalogs are very inconsistent. The ampersand may be ignored, treated as a special character, or treated as "and," again with very inconsistent results. Various recommendations are made with a view to improving consistency of performance.
    Source
    Cataloging and classification quarterly. 29(2000) no.4, S.39-59
  8. Ross, J.: ¬A new way of information retrieval : 3-D indexing and concept mapping (2000) 0.07
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    Date
    25. 2.1997 10:29:16
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  9. Shiri, A.A.; Revie, C.; Chowdhury, G.: Thesaurus-enhanced search interfaces (2002) 0.07
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    Date
    18. 5.2002 17:29:00
    Theme
    Verbale Doksprachen im Online-Retrieval
    Semantisches Umfeld in Indexierung u. Retrieval
  10. Kwok, K.-L.: Ten years of ad hoc retrieval at TREC using PIRCS (2005) 0.07
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  11. Smith, J.R.: Quantitative assessment of image retrieval effectiveness (2001) 0.06
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    Abstract
    Content-based retrieval (CBR) promises to greatly improve capabilities for searching for images based on semantic features and visual appearance. However, developing a framework for evaluating image retrieval effectiveness remains a significant challenge. Difficulties include determining how matching at different description levels affects relevance, designing meaningful benchmark queries of large image collections, and developing suitable quantitative metrics for measuring retrieval effectiveness. This article studies the problems of developing a framework and testbed for quantitative assessment of image retrieval effectiveness. In order to better harness the extensive research on CBR and improve capabilities of image retrieval systems, this article advocates the establishment of common image retrieval testbeds consisting of standardized image collections, benchmark queries, relevance assessments, and quantitative evaluation methods
    Date
    29. 9.2001 18:51:04
  12. Harman, D.K.: ¬The TREC test collections (2005) 0.06
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  13. MacLennan, A.: Classification and the Internet (2000) 0.06
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    Date
    27. 1.2002 19:29:20
    Theme
    Klassifikationssysteme im Online-Retrieval
  14. Agosti, M.; Melucci, M.: Information retrieval techniques for the automatic construction of hypertext (2000) 0.06
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    Source
    Encyclopedia of library and information science. Vol.66, [=Suppl.29]
  15. Harman, D.K.: ¬The TREC ad hoc experiments (2005) 0.06
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  16. Robertson, S.; Callan, J.: Routing and filtering (2005) 0.06
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  17. Crestani, F.: Combination of similarity measures for effective spoken document retrieval (2003) 0.06
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    Source
    Journal of information science. 29(2003) no.2, S.87-96
  18. Beaulieu, M.: Approaches to user-based studies in information seeking and retrieval : a Sheffield perspective (2003) 0.06
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    Source
    Journal of information science. 29(2003) no.4, S.239-248
  19. Harman, D.K.: Beyond English (2005) 0.06
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  20. Voorhees, E.M.; Garofolo, J.S.: Retrieving noisy text (2005) 0.06
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman

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