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Innovations and advanced techniques in systems, computing sciences and software engineering (2008) 0.01

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Editor: Elleithy, K.
Language: e

Helbig, H.: Knowledge representation and the semantics of natural language (2014) 0.01

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Footnote: Vgl. auch die anderen Ausgabe in dt. u. engl. Sprache
Language: e

Lewandowski, D.: Suchmaschinen verstehen (2018) 0.01

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Classification: TVK (FH K)
GHBS: TVK (FH K)

Lewandowski, D.: Suchmaschinen verstehen (2015) 0.01

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Classification: TVK (FH K)
GHBS: TVK (FH K)

Weilenmann, A.-K.: Fachspezifische Internetrecherche : für Bibliothekare, Informationsspezialisten und Wissenschaftler (2001) 0.01

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Footnote: Weitere Rez: BuB 29(2007) H.1, S.71-72 (J. Plieninger)

Vowinkel, B.: Maschinen mit Bewusstsein : wohin führt die künstliche Intelligenz? (2006) 0.01

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Classification: TXV (FH K)
GHBS: TXV (FH K)

Borgman, C.L.: Big data, little data, no data : scholarship in the networked world (2015) 0.00

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Date: 14.10.2013 19:29:54
Language: e
RSWK: Forschung / Datenverarbeitung / Informationssystem / Wissenschaft / E-Science
Subject: Forschung / Datenverarbeitung / Informationssystem / Wissenschaft / E-Science

Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.00

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Date: 1. 2.2016 18:25:22
Language: e

Corporate Semantic Web : wie semantische Anwendungen in Unternehmen Nutzen stiften (2015) 0.00

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Date: 29. 9.2015 19:11:44

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.

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