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  1. Handbuch Internet-Suchmaschinen [1] : Nutzerorientierung in Wissenschaft und Praxis (2009) 0.04
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    Classification
    TVK (FH K)
    Content
    I. Suchmaschinenlandschaft Der Markt für Internet-Suchmaschinen - Christian Maaß, Andre Skusa, Andreas Heß und Gotthard Pietsch Typologie der Suchdienste im Internet - Joachim Griesbaum, Bernard Bekavac und Marc Rittberger Spezialsuchmaschinen - Dirk Lewandowski Suchmaschinenmarketing - Carsten D. Schultz II. Suchmaschinentechnologie Ranking-Verfahren für Web-Suchmaschinen - Philipp Dopichaj Programmierschnittstellen der kommerziellen Suchmaschinen - Fabio Tosques und Philipp Mayr Personalisierung der Internetsuche - Lösungstechniken und Marktüberblick - Kai Riemer und Fabian Brüggemann III. Nutzeraspekte Methoden der Erhebung von Nutzerdaten und ihre Anwendung in der Suchmaschinenforschung - Nadine Höchstötter Standards der Ergebnispräsentation - Dirk Lewandowski und Nadine Höchstötter Universal Search - Kontextuelle Einbindung von Ergebnissen unterschiedlicher Quellen und Auswirkungen auf das User Interface - Sonja Quirmbach Visualisierungen bei Internetsuchdiensten - Thomas Weinhold, Bernard Bekavac, Sonja Hierl, Sonja Öttl und Josef Herget IV. Recht und Ethik Datenschutz bei Suchmaschinen - Thilo Weichert Moral und Suchmaschinen - Karsten Weber V. Vertikale Suche Enterprise Search - Suchmaschinen für Inhalte im Unternehmen - Julian Bahrs Wissenschaftliche Dokumente in Suchmaschinen - Dirk Pieper und Sebastian Wolf Suchmaschinen für Kinder - Maria Zens, Friederike Silier und Otto Vollmers
    GHBS
    TVK (FH K)
    Language
    e
  2. Grill, E.: Relationale Datenbanken; vom logischen Konzept zur physischen Realisierung : Ziele, Methoden, Fallstudie (1990) 0.04
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    Classification
    TWX (FH K)
    GHBS
    TWX (FH K)
    Issue
    4., aktualisierte u. erw. Aufl.
  3. Handbook on ontologies (2004) 0.03
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    Classification
    TXV (FH K)
    Editor
    Staab, S. u. R. Studer
    GHBS
    TXV (FH K)
    Language
    e
  4. Meadow, C.T.: Text information retrieval systems (1992) 0.02
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    Classification
    BCA (FH K)
    Date
    29. 2.2008 20:36:05
    GHBS
    BCA (FH K)
    Language
    e
  5. Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.01
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    Classification
    TVU (E)
    TWX (FH K)
    GHBS
    TVU (E)
    TWX (FH K)
    Language
    e
  6. Kuropka, D.: Modelle zur Repräsentation natürlichsprachlicher Dokumente : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2004) 0.01
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    Abstract
    Kostengünstige Massenspeicher und die zunehmende Vernetzung von Rechnern haben die Anzahl der Dokumente, auf die ein einzelnes Individuum zugreifen kann (bspw. Webseiten) oder die auf das Individuum einströmen (bspw. E-Mails), in den letzten Jahren rapide ansteigen lassen. In immer mehr Bereichen der Wirtschaft, Wissenschaft und Verwaltung nimmt der Bedarf an hochwertigen Information-Filtering und -Retrieval Werkzeugen zur Beherrschung der Informationsflut zu. Zur computergestützten Lösung dieser Problemstellung sind Modelle zur Repräsentation natürlichsprachlicher Dokumente erforderlich, um formale Kriterien für die automatisierte Auswahl relevanter Dokumente definieren zu können. Dominik Kuropka gibt in seiner Arbeit eine umfassende Übersicht über den Themenbereich der Suche und Filterung von natürlichsprachlichen Dokumenten. Es wird eine Vielzahl von Modellen aus Forschung und Praxis vorgestellt und evaluiert. Auf den Ergebnissen aufbauend wird das Potenzial von Ontologien in diesem Zusammenhang eruiert und es wird ein neues, ontologie-basiertes Modell für das Information-Filtering und -Retrieval erarbeitet, welches anhand von Text- und Code-Beispielen ausführlich erläutert wird. Das Buch richtet sich an Dozenten und Studenten der Informatik, Wirtschaftsinformatik und (Computer-)Linguistik sowie an Systemdesigner und Entwickler von dokumentenorientierten Anwendungssystemen und Werkzeugen.
    Classification
    BCAO (FH K)
    GHBS
    BCAO (FH K)
  7. Blair, D.C.: Language and representation in information retrieval (1991) 0.01
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    Classification
    BCA (FH K)
    GHBS
    BCA (FH K)
    Language
    e
  8. Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008) 0.01
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    Editor
    Goh, D. u. S. Foo
    Language
    e
  9. Information visualization in data mining and knowledge discovery (2002) 0.01
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    Date
    23. 3.2008 19:10:22
    Editor
    Fayyad, U. et al.
    Language
    e
  10. Kuhlthau, C.C: Seeking meaning : a process approach to library and information services (2004) 0.01
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    Classification
    BAHK (FH K)
    GHBS
    BAHK (FH K)
    Language
    e
  11. Widhalm, R.; Mück, T.: Topic maps : Semantische Suche im Internet (2002) 0.00
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    Classification
    BFP (E)
    GHBS
    BFP (E)
  12. Kuropka, D.: Modelle zur Repräsentation natürlichsprachlicher Dokumente : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2004) 0.00
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    Abstract
    Kostengünstige Massenspeicher und die zunehmende Vernetzung von Rechnern haben die Anzahl der Dokumente, auf die ein einzelnes Individuum zugreifen kann (bspw. Webseiten) oder die auf das Individuum einströmen (bspw. E-Mails), in den letzten Jahren rapide ansteigen lassen. In immer mehr Bereichen der Wirtschaft, Wissenschaft und Verwaltung nimmt der Bedarf an hochwertigen Information-Filtering und -Retrieval Werkzeugen zur Beherrschung der Informationsflut zu. Zur computergestützten Lösung dieser Problemstellung sind Modelle zur Repräsentation natürlichsprachlicher Dokumente erforderlich, um formale Kriterien für die automatisierte Auswahl relevanter Dokumente definieren zu können. Dominik Kuropka gibt in seiner Arbeit eine umfassende Übersicht über den Themenbereich der Suche und Filterung von natürlichsprachlichen Dokumenten. Es wird eine Vielzahl von Modellen aus Forschung und Praxis vorgestellt und evaluiert. Auf den Ergebnissen aufbauend wird das Potenzial von Ontologien in diesem Zusammenhang eruiert und es wird ein neues, ontologie-basiertes Modell für das Information-Filtering und -Retrieval erarbeitet, welches anhand von Text- und Code-Beispielen ausführlich erläutert wird. Das Buch richtet sich an Dozenten und Studenten der Informatik, Wirtschaftsinformatik und (Computer-)Linguistik sowie an Systemdesigner und Entwickler von dokumentenorientierten Anwendungssystemen und Werkzeugen.
  13. Towards the Semantic Web : ontology-driven knowledge management (2004) 0.00
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