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Liu / Bai / Giugni / Williamson / Taylor

Data Provenance and Data Management in eScience

2012. Buch. xii, 184 S.: Bibliographien. Hardcover
Springer ISBN 978-3-642-29930-8
Format (B x L): 15,5 x 23,5 cm
Gewicht: 461 g
In englischer Sprache
Das Werk ist Teil der Reihe:
This book covers important aspects of fundamental research in data provenance and data management(DPDM), including provenance representation and querying, as well as practical applications in such domains as clinical trials, bioinformatics and radio astronomy.
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Recent research on Data Provenance and Data Management for eScience How to use advanced semantic and AI techniques to track and manage information which describe the life cycle of data items and products Written by leading experts in the field