Overview
- Latest research on Data Intensive Scientific Computing
- First book of the new subseries Data, Semantics and Cloud Computing
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 485)
Part of the book sub series: Data, Semantics and Cloud Computing (DSCC)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data sources. The data integration system proposed in this book links remote databases in a networked environment, supports heterogeneous databases and data formats, links databases hosted on multiple platforms, and provides data security for database owners by allowing them to keep and maintain their own data and to choose information to be shared and linked. The book is a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development for data integration in biodiversity.
Authors and Affiliations
Bibliographic Information
Book Title: Data Intensive Computing for Biodiversity
Authors: Sarinder K. Dhillon, Amandeep S. Sidhu
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-38047-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-38046-4Published: 25 June 2013
Softcover ISBN: 978-3-642-44189-9Published: 10 July 2015
eBook ISBN: 978-3-642-38047-1Published: 31 May 2013
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: IX, 126