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Dataspace Support Platform for e-Science: Dataspace-based Preservation of Scientific Studies - Softcover
Inhaltsangabe
Scientific data, collected in various research domains are made accessible for significant analysis through portals by the means of e-Infrastructures. Managing the outcome of these analyses in conjunction with its corresponding input data, by enriching its existing relationship with semantics to facilitate reuse of data is nowadays more important than ever. The work presented in this book focuses its effort on scientific dataspaces, which, if applied in e-Science applications can provide a highly efficient and powerful scientific data preservation solution for e-Infrastructures. The author's approach is to semantically enrich the existing relationship among primary and derived datasets and to preserve both, relationships and datasets together within a dataspace to be reused by owners and others. This approach is shown to significantly improve assisted publishing, discovery, and reuse of primary and derived data used in scientific studies. This book summarizes scientific contributions made by the author during his PhD study. Most of the research has been carried out in the context of real-world e-Science applications.
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Über die Autorin bzw. den Autor
Ibrahim Elsayed is a postdoctoral research associate at the Faculty of Computer Science, University of Vienna. He received his MSc in 2005 from the University of Vienna and his PhD with distinction in 2011 from the Vienna University of Technology, both in Business Informatics.
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Dataspace Support Platform for e-Science
Verlag:
Südwestdeutscher Verlag Für Hochschulschriften Apr 2012, 2012
ISBN 10: 3838131576
ISBN 13: 9783838131573
Neu
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Scientific data, collected in various research domains are made accessible for significant analysis through portals by the means of e-Infrastructures. Managing the outcome of these analyses in conjunction with its corresponding input data, by enriching its existing relationship with semantics to facilitate reuse of data is nowadays more important than ever. The work presented in this book focuses its effort on scientific dataspaces, which, if applied in e-Science applications can provide a highly efficient and powerful scientific data preservation solution for e-Infrastructures. The author's approach is to semantically enrich the existing relationship among primary and derived datasets and to preserve both, relationships and datasets together within a dataspace to be reused by owners and others. This approach is shown to significantly improve assisted publishing, discovery, and reuse of primary and derived data used in scientific studies. This book summarizes scientific contributions made by the author during his PhD study. Most of the research has been carried out in the context of real-world e-Science applications. 304 pp. Englisch. Bestandsnummer des Verkäufers 9783838131573
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Dataspace Support Platform for e-Science
Verlag:
Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 3838131576
ISBN 13: 9783838131573
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Elsayed IbrahimIbrahim Elsayed is a postdoctoral research associate at the Faculty of Computer Science, University of Vienna. He received his MSc in 2005 from the University of Vienna and his PhD with distinction in 2011 from the Vie. Bestandsnummer des Verkäufers 5407441
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Dataspace Support Platform for e-Science | Dataspace-based Preservation of Scientific Studies
Verlag:
Südwestdeutscher Verlag für Hochschulschriften, 2015
ISBN 10: 3838131576
ISBN 13: 9783838131573
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Taschenbuch. Zustand: Neu. Dataspace Support Platform for e-Science | Dataspace-based Preservation of Scientific Studies | Ibrahim Elsayed | Taschenbuch | 304 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838131573 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106502532
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Dataspace Support Platform for e-Science
Verlag:
Südwestdeutscher Verlag Für Hochschulschriften Apr 2012, 2012
ISBN 10: 3838131576
ISBN 13: 9783838131573
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Scientific data, collected in various research domains are made accessible for significant analysis through portals by the means of e-Infrastructures. Managing the outcome of these analyses in conjunction with its corresponding input data, by enriching its existing relationship with semantics to facilitate reuse of data is nowadays more important than ever. The work presented in this book focuses its effort on scientific dataspaces, which, if applied in e-Science applications can provide a highly efficient and powerful scientific data preservation solution for e-Infrastructures. The author's approach is to semantically enrich the existing relationship among primary and derived datasets and to preserve both, relationships and datasets together within a dataspace to be reused by owners and others. This approach is shown to significantly improve assisted publishing, discovery, and reuse of primary and derived data used in scientific studies. This book summarizes scientific contributions made by the author during his PhD study. Most of the research has been carried out in the context of real-world e-Science applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 304 pp. Englisch. Bestandsnummer des Verkäufers 9783838131573
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Dataspace Support Platform for e-Science : Dataspace-based Preservation of Scientific Studies
Verlag:
Südwestdeutscher Verlag Für Hochschulschriften, 2012
ISBN 10: 3838131576
ISBN 13: 9783838131573
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Scientific data, collected in various research domains are made accessible for significant analysis through portals by the means of e-Infrastructures. Managing the outcome of these analyses in conjunction with its corresponding input data, by enriching its existing relationship with semantics to facilitate reuse of data is nowadays more important than ever. The work presented in this book focuses its effort on scientific dataspaces, which, if applied in e-Science applications can provide a highly efficient and powerful scientific data preservation solution for e-Infrastructures. The author's approach is to semantically enrich the existing relationship among primary and derived datasets and to preserve both, relationships and datasets together within a dataspace to be reused by owners and others. This approach is shown to significantly improve assisted publishing, discovery, and reuse of primary and derived data used in scientific studies. This book summarizes scientific contributions made by the author during his PhD study. Most of the research has been carried out in the context of real-world e-Science applications. Bestandsnummer des Verkäufers 9783838131573
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