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  • × classification_ss:"AN 95000"
  1. Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014) 0.03
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    Date
    23. 7.2017 13:49:22
    Isbn
    978-3-11-032971-1
  2. Concepts in Context : Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010 (2011) 0.02
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    Date
    22. 2.2013 11:34:18
    Series
    Bibliotheca Academica - Reihe Informations- und Bibliothekswissenschaften; Bd. 1
  3. Lubas, R.L.; Jackson, A.S.; Schneider, I.: ¬The metadata manual : a practical workbook (2013) 0.01
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    Content
    1. Introduction to metadata -- 2. XML basics -- 3. Using Dublin Core -- 4. Using Encoded Archival Description (EAD) -- 5. Using Categories for the Description of Works of Art (CDWA) and CDWA Lite -- 6. Using VRA Core 4.0 -- 7. The big picture.
    Isbn
    978-1-84334-729-3
  4. Hider, P.: Information resource description : creating and managing metadata (2012) 0.00
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    Isbn
    978-1-85604-667-1
  5. Haynes, D.: Metadata for information management and retrieval : understanding metadata and its use (2018) 0.00
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    Isbn
    978-1-85604-824-8
  6. Hooland, S. van; Verborgh, R.: Linked data for Lilibraries, archives and museums : how to clean, link, and publish your metadata (2014) 0.00
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    Isbn
    978-1-85604-964-1
  7. Tunkelang, D.: Faceted search (2009) 0.00
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    Isbn
    978-1-598-29999-1
  8. Colomb, R.M.: Information spaces : the architecture of cyberspace (2002) 0.00
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    Isbn
    978-1-85233-550-2
  9. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.00
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    Isbn
    978-1-78560-968-8
  10. Peters, C.; Braschler, M.; Clough, P.: Multilingual information retrieval : from research to practice (2012) 0.00
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    Content
    Inhalt: 1 Introduction 2 Within-Language Information Retrieval 3 Cross-Language Information Retrieval 4 Interaction and User Interfaces 5 Evaluation for Multilingual Information Retrieval Systems 6 Applications of Multilingual Information Access
  11. Interactive information seeking, behaviour and retrieval (2011) 0.00
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    Isbn
    978-1-85604-707-4
  12. 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
  13. Spink, A.; Jansen, B.J.: Web searching : public searching of the Web (2004) 0.00
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    Footnote
    Rez. in: Information - Wissenschaft und Praxis 56(2004) H.1, S.61-62 (D. Lewandowski): "Die Autoren des vorliegenden Bandes haben sich in den letzten Jahren durch ihre zahlreichen Veröffentlichungen zum Verhalten von Suchmaschinen-Nutzern einen guten Namen gemacht. Das nun erschienene Buch bietet eine Zusammenfassung der verstreut publizierten Aufsätze und stellt deren Ergebnisse in den Kontext eines umfassenderen Forschungsansatzes. Spink und Jansen verwenden zur Analyse des Nutzungsverhaltens query logs von Suchmaschinen. In diesen werden vom Server Informationen protokolliert, die die Anfragen an diesen Server betreffen. Daten, die aus diesen Dateien gewonnen werden können, sind unter anderem die gestellten Suchanfragen, die Adresse des Rechners, von dem aus die Anfrage gestellt wurde, sowie die aus den Trefferlisten ausgewählten Dokumente. Der klare Vorteil der Analyse von Logfiles liegt in der Möglichkeit, große Datenmengen ohne hohen personellen Aufwand erheben zu können. Die Daten einer Vielzahl anonymer Nutzer können analysiert werden; ohne dass dabei die Datenerhebung das Nutzerverhalten beeinflusst. Dies ist bei Suchmaschinen von besonderer Bedeutung, weil sie im Gegensatz zu den meisten anderen professionellen Information-Retrieval-Systemen nicht nur im beruflichen Kontext, sondern auch (und vor allem) privat genutzt werden. Das Bild des Nutzungsverhaltens wird in Umfragen und Laboruntersuchungen verfälscht, weil Nutzer ihr Anfrageverhalten falsch einschätzen oder aber die Themen ihrer Anfragen nicht nennen möchten. Hier ist vor allem an Suchanfragen, die auf medizinische oder pornographische Inhalte gerichtet sind, zu denken. Die Analyse von Logfiles ist allerdings auch mit Problemen behaftet: So sind nicht alle gewünschten Daten überhaupt in den Logfiles enthalten (es fehlen alle Informationen über den einzelnen Nutzer), es werden keine qualitativen Informationen wie etwa der Grund einer Suche erfasst und die Logfiles sind aufgrund technischer Gegebenheiten teils unvollständig. Die Autoren schließen aus den genannten Vor- und Nachteilen, dass sich Logfiles gut für die Auswertung des Nutzerverhaltens eignen, bei der Auswertung jedoch die Ergebnisse von Untersuchungen, welche andere Methoden verwenden, berücksichtigt werden sollten.
    Isbn
    1-402-02268-9

Languages

  • e 12
  • d 1

Types

  • m 13
  • s 3

Subjects