Data Intensive Computing for Biodiversity

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.

List of contents

Introduction.- Preliminary Study.- Literature Review.- Methodology.- Biodiversity Databases.- Proposed Solution.

Summary

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.

Product details

• Authors: Sarinder Dhillon, Sarinder K Dhillon, Sarinder K. Dhillon, Amandeep S Sidhu, Amandeep S. Sidhu
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2015
• EAN: 9783642441899
• ISBN: 978-3-642-44189-9
• No. of pages: 126
• Dimensions: 155 mm x 9 mm x 7 mm
• Weight: 219 g
• Illustrations: IX, 126 p.
• Series: Studies in Computational Intelligence; Data, Semantics and Cloud Computing; Studies in Computational Intelligence; Data, Semantics and Cloud Computing
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Artificial Intelligence, engineering, Computational Intelligence