-
Bawden, D.; Robinson, L.: ¬An introduction to information science (2012)
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- Classification
- BAHH (FH K)
- Footnote
- Rez. in: JASIST 64(2013) no.5, S.1081-1083 (E. Aversa)
- GHBS
- BAHH (FH K)
- Language
- e
- Theme
- Grundlagen u. Einführungen: Allgemeine Literatur
-
Leitfaden zum Forschungsdaten-Management : Handreichungen aus dem WissGrid-Projekt (2013)
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- Classification
- ANW (FH K)
- Date
- 19.12.2015 11:57:22
- Editor
- Ludwig, J. u. H. Enke
- GHBS
- ANW (FH K)
-
Visual interfaces to digital libraries : [extended papers presented at the first and second International Workshops on Visual Interfaces to Digital Libraries, held at the Joint Conference on Digital Libraries (JCDL) in 2001 and 2002] (2002)
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- Date
- 22. 2.2003 17:25:39
22. 3.2008 15:02:37
- Editor
- Börner, K. u. C. Chen
- Language
- e
-
Research and advanced technology for digital libraries : 7th European conference, ECDL2003 Trondheim, Norway, August 17-22, 2003. Proceedings (2003)
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- Editor
- Koch, T. u. I. Torvik Solvberg
- Language
- e
-
Kuropka, D.: Modelle zur Repräsentation natürlichsprachlicher Dokumente : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2004)
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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)
-
Blair, D.C.: Language and representation in information retrieval (1991)
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- Classification
- BCA (FH K)
- GHBS
- BCA (FH K)
- Language
- e
-
Research and advanced technology for digital libraries : 8th European conference, ECDL 2004, Bath, UK, September 12-17, 2004 : proceedings (2004)
0.01
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- Editor
- Heery, R. u. E. Lyon
- Language
- e
-
Research and advanced technology for digital libraries : 10th European conference ; proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006 ; proceedings (2006)
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- Language
- e
-
Kuropka, D.: Modelle zur Repräsentation natürlichsprachlicher Dokumente : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2004)
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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.
