Search (18 results, page 1 of 1)

  • × classification_ss:"ST 270"
  1. Dominich, S.: Mathematical foundations of information retrieval (2001) 0.02 
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    Date
    22. 3.2008 12:26:32
    Language
    e
  2. Ceri, S.; Bozzon, A.; Brambilla, M.; Della Valle, E.; Fraternali, P.; Quarteroni, S.: Web Information Retrieval (2013) 0.02 
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    Date
    16.10.2013 19:22:44
    Language
    e
  3. Tunkelang, D.: Faceted search (2009) 0.00 
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    Abstract
    We live in an information age that requires us, more than ever, to represent, access, and use information. Over the last several decades, we have developed a modern science and technology for information retrieval, relentlessly pursuing the vision of a "memex" that Vannevar Bush proposed in his seminal article, "As We May Think." Faceted search plays a key role in this program. Faceted search addresses weaknesses of conventional search approaches and has emerged as a foundation for interactive information retrieval. User studies demonstrate that faceted search provides more effective information-seeking support to users than best-first search. Indeed, faceted search has become increasingly prevalent in online information access systems, particularly for e-commerce and site search. In this lecture, we explore the history, theory, and practice of faceted search. Although we cannot hope to be exhaustive, our aim is to provide sufficient depth and breadth to offer a useful resource to both researchers and practitioners. Because faceted search is an area of interest to computer scientists, information scientists, interface designers, and usability researchers, we do not assume that the reader is a specialist in any of these fields. Rather, we offer a self-contained treatment of the topic, with an extensive bibliography for those who would like to pursue particular aspects in more depth.
    Classification
    AZE (E)
    GHBS
    AZE (E)
    Language
    e
  4. Kantardzic, M.: Data mining : concepts, models, methods, and algorithms (2003) 0.00 
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    Classification
    TWX (E)
    GHBS
    TWX (E)
    Language
    e
  5. Pomerantz, J.: Metadata (2015) 0.00 
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    Classification
    AZC (E)
    GHBS
    AZC (E)
    Language
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  6. Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010) 0.00 
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  7. Widhalm, R.; Mück, T.: Topic maps : Semantische Suche im Internet (2002) 0.00 
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    Classification
    BFP (E)
    GHBS
    BFP (E)
  8. 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.
  9. 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.
  10. Colomb, R.M.: Information spaces : the architecture of cyberspace (2002) 0.00 
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  11. White, R.W.: Interactions with search systems (2016) 0.00 
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  12. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.00 
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  13. Crestani, F.; Mizzaro, S.; Scagnetto, I,: Mobile information retrieval (2017) 0.00 
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  14. Manning, C.D.; Raghavan, P.; Schütze, H.: Introduction to information retrieval (2008) 0.00 
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  15. Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008) 0.00 
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  16. Theory development in the information sciences (2016) 0.00 
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  17. TREC: experiment and evaluation in information retrieval (2005) 0.00 
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  18. Morville, P.: Ambient findability : what we find changes who we become (2005) 0.00 
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Authors

Years

Languages

  • e 15
  • d 3

Types

  • m 18
  • s 3

Themes

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