Suchergebnisse - "Information systems Information retrieval Retrieval tasks and goals Information extraction"

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  1. 1

    EUD for enterprise process and information management von Stoitsev, Todor, Spahn, Michael, Scheidl, Stefan

    ISBN: 1605580341, 9781605580340
    ISSN: 0270-5257
    Veröffentlicht: 12.05.2008
    “… Both topics are closely related since analytic applications may provide decision support in processes and processes may be the subject of analysis, e.g …”
    Volltext
    Journal Article
  2. 2

    Improved Discoverability of Digital Objects in Institutional Repositories Using Controlled Vocabularies von Chipangila, Bertha, Liswaniso, Eric, Mawila, Andrew, Mwanza, Philomena, Nawila, Daisy, M'sendo, Robert, Nyirenda, Mayumbo, Phiri, Lighton

    Veröffentlicht: IEEE 01.09.2021
    “… With the continued increase of scholarly research output produced, accurate and comprehensive association of subject headings to digital objects, during ingestion into IRs is crucial for effective …”
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    Tagungsbericht
  3. 3

    Garbage, Glitter, or Gold: Assigning Multi-Dimensional Quality Scores to Social Media Seeds for Web Archive Collections von Nwala, Alexander C., Weigle, Michele C., Nelson, Michael L.

    Veröffentlicht: IEEE 01.09.2021
    “… From popular uprisings to pandemics, the Web is an essential source consulted by scientists and historians for reconstructing and studying past events …”
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    Tagungsbericht
  4. 4

    How Up-to-date should it be? the Value of Instant Profiling and Adaptation in Information Filtering von He, Daqing, Brusiloviksy, Peter, Grady, Jonathan, Li, Qi, Ahn, Jae-wook

    ISBN: 9780769530260, 0769530265
    Veröffentlicht: Washington, DC, USA IEEE Computer Society 02.11.2007
    “… In profile-based or content-based adaptive systems, one of the open research questions is how frequently the user's profile and the list of recommended items …”
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    Tagungsbericht
  5. 5

    An Augmented Tagging Scheme with Triple Tagging and Collective Filtering von Yang, Jie, Matsuo, Yutaka, Ishizuka, Mitsuru

    ISBN: 0769530265, 9780769530260
    Veröffentlicht: Washington, DC, USA IEEE Computer Society 02.11.2007
    “… This paper proposes a subject-predicate-object scheme for users to triple tag web resources …”
    Volltext
    Tagungsbericht