-
Handbook on ontologies (2004)
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- BK
- 54.72 / Künstliche Intelligenz
- Classification
- ST 300 Informatik / Monographien / Künstliche Intelligenz / Allgemeines
ST 302 Informatik / Monographien / Künstliche Intelligenz / Expertensysteme; Wissensbasierte Systeme
54.72 / Künstliche Intelligenz
TXV (FH K)
- GHBS
- TXV (FH K)
- RVK
- ST 300 Informatik / Monographien / Künstliche Intelligenz / Allgemeines
ST 302 Informatik / Monographien / Künstliche Intelligenz / Expertensysteme; Wissensbasierte Systeme
-
Blair, D.C.: Language and representation in information retrieval (1991)
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- Classification
- ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme
AN 95000 Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft / Informationswissenschaft / Informationspraxis / Bibliographische Erfassung, Suchpraxis
ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme
ST 304 Informatik / Monographien / Künstliche Intelligenz / Automatisches Programmieren, Deduction and theorem proving, Wissensrepräsentation
BCA (FH K)
- GHBS
- BCA (FH K)
- RVK
- ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme
AN 95000 Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft / Informationswissenschaft / Informationspraxis / Bibliographische Erfassung, Suchpraxis
ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme
ST 304 Informatik / Monographien / Künstliche Intelligenz / Automatisches Programmieren, Deduction and theorem proving, Wissensrepräsentation
-
Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005)
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- BK
- 54.72 / Künstliche Intelligenz
- Classification
- ST 205 Informatik / Monographien / Vernetzung, verteilte Systeme / Internet allgemein
ST 515 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Wirtschaftsinformatik / Wissensmanagement, Information engineering
54.72 / Künstliche Intelligenz
TWX (FH K)
- GHBS
- TWX (FH K)
- RVK
- ST 205 Informatik / Monographien / Vernetzung, verteilte Systeme / Internet allgemein
ST 515 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Wirtschaftsinformatik / Wissensmanagement, Information engineering
-
Information visualization in data mining and knowledge discovery (2002)
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- BK
- 54.72 / Künstliche Intelligenz
- Classification
- 54.72 / Künstliche Intelligenz
- Date
- 23. 3.2008 19:10:22
- Footnote
- In 13 chapters, Part Two provides an introduction to KDD, an overview of data mining techniques, and examples of the usefulness of data model visualizations. The importance of visualization throughout the KDD process is stressed in many of the chapters. In particular, the need for measures of visualization effectiveness, benchmarking for identifying best practices, and the use of standardized sample data sets is convincingly presented. Many of the important data mining approaches are discussed in this complementary context. Cluster and outlier detection, classification techniques, and rule discovery algorithms are presented as the basic techniques common to the KDD process. The potential effectiveness of using visualization in the data modeling process are illustrated in chapters focused an using visualization for helping users understand the KDD process, ask questions and form hypotheses about their data, and evaluate the accuracy and veracity of their results. The 11 chapters of Part Three provide an overview of the KDD process and successful approaches to integrating KDD, data mining, and visualization in complementary domains. Rhodes (Chapter 21) begins this section with an excellent overview of the relation between the KDD process and data mining techniques. He states that the "primary goals of data mining are to describe the existing data and to predict the behavior or characteristics of future data of the same type" (p. 281). These goals are met by data mining tasks such as classification, regression, clustering, summarization, dependency modeling, and change or deviation detection. Subsequent chapters demonstrate how visualization can aid users in the interactive process of knowledge discovery by graphically representing the results from these iterative tasks. Finally, examples of the usefulness of integrating visualization and data mining tools in the domain of business, imagery and text mining, and massive data sets are provided. This text concludes with a thorough and useful 17-page index and lengthy yet integrating 17-page summary of the academic and industrial backgrounds of the contributing authors. A 16-page set of color inserts provide a better representation of the visualizations discussed, and a URL provided suggests that readers may view all the book's figures in color on-line, although as of this submission date it only provides access to a summary of the book and its contents. The overall contribution of this work is its focus an bridging two distinct areas of research, making it a valuable addition to the Morgan Kaufmann Series in Database Management Systems. The editors of this text have met their main goal of providing the first textbook integrating knowledge discovery, data mining, and visualization. Although it contributes greatly to our under- standing of the development and current state of the field, a major weakness of this text is that there is no concluding chapter to discuss the contributions of the sum of these contributed papers or give direction to possible future areas of research. "Integration of expertise between two different disciplines is a difficult process of communication and reeducation. Integrating data mining and visualization is particularly complex because each of these fields in itself must draw an a wide range of research experience" (p. 300). Although this work contributes to the crossdisciplinary communication needed to advance visualization in KDD, a more formal call for an interdisciplinary research agenda in a concluding chapter would have provided a more satisfying conclusion to a very good introductory text.
-
Research and advanced technology for digital libraries : 7th European conference, ECDL2003 Trondheim, Norway, August 17-22, 2003. Proceedings (2003)
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- BK
- 54.82 / Textverarbeitung <Informatik>
- Classification
- SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science
54.82 / Textverarbeitung <Informatik>
- RVK
- SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science
-
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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- BK
- 54.82 / Textverarbeitung <Informatik>
- Classification
- SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science
54.82 / Textverarbeitung <Informatik>
- RVK
- SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science
-
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)
-
Weiermann, S.L.: Semantische Netze und Begriffsdeskription in der Wissensrepräsentation (2000)
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- RSWK
- FILCOM <Programm> / Definition / Vererbung <Informatik>
- Subject
- FILCOM <Programm> / Definition / Vererbung <Informatik>
-
Research and advanced technology for digital libraries : 8th European conference, ECDL 2004, Bath, UK, September 12-17, 2004 : proceedings (2004)
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- BK
- 54.82 / Textverarbeitung <Informatik>
- Classification
- SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science
54.82 / Textverarbeitung <Informatik>
- RVK
- SS 4800 Informatik / Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen / Schriftenreihen (indiv. Sign.) / Lecture notes in computer science
-
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.
-
¬Die Googleisierung der Informationssuche : Suchmaschinen zwischen Nutzung und Regulierung (2014)
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- Classification
- KNZ (FH K)
- GHBS
- KNZ (FH K)
