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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783838131573
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Etat : 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. N° de réf. du vendeur 5407441
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Taschenbuch. Etat : 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. N° de réf. du vendeur 106502532
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783838131573
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783838131573
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