Search (5 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  • × type_ss:"m"
  • × year_i:[2010 TO 2020}
  1. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.03
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    BK
    06.30 (Bibliothekswesen / Dokumentationswesen: Allgemeines)
    Classification
    06.30 (Bibliothekswesen / Dokumentationswesen: Allgemeines)
    Isbn
    978-1-78560-968-8
  2. Melucci, M.: Contextual search : a computational framework (2012) 0.00
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    Content
    Table of contents 1. Introduction 2. Query Intent 3. Personal Interest 4. Document Quality 5. Contextual Search Evaluation 6. Conclusions Acknowledgements References A. Implementations
    Isbn
    978-1-60198-600-9
  3. Zenz, G.; Zhou, X.; Minack, E.; Siberski, W.; Nejdl, W.: Interactive query construction for keyword search on the Semantic Web (2012) 0.00
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    Abstract
    With the advance of the semantic Web, increasing amounts of data are available in a structured and machine-understandable form. This opens opportunities for users to employ semantic queries instead of simple keyword-based ones to accurately express the information need. However, constructing semantic queries is a demanding task for human users [11]. To compose a valid semantic query, a user has to (1) master a query language (e.g., SPARQL) and (2) acquire sufficient knowledge about the ontology or the schema of the data source. While there are systems which support this task with visual tools [21, 26] or natural language interfaces [3, 13, 14, 18], the process of query construction can still be complex and time consuming. According to [24], users prefer keyword search, and struggle with the construction of semantic queries although being supported with a natural language interface. Several keyword search approaches have already been proposed to ease information seeking on semantic data [16, 32, 35] or databases [1, 31]. However, keyword queries lack the expressivity to precisely describe the user's intent. As a result, ranking can at best put query intentions of the majority on top, making it impossible to take the intentions of all users into consideration.
  4. Semantic search over the Web (2012) 0.00
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    Isbn
    978-3-642-25007-1
  5. Agarwal, N.K.: Exploring context in information behavior : seeker, situation, surroundings, and shared identities (2018) 0.00
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    Isbn
    978-1-68173-081-3