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Engineering - Computational Intelligence and Complexity | Data Intensive Computing for Biodiversity

Data Intensive Computing for Biodiversity

Dhillon, Sarinder K., Sidhu, Amandeep S.

2013, IX, 126 p. 69 illus.

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  • About this book

  • 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

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.

Content Level » Research

Keywords » Artificial Intelligence - Cloud Computing - Computational Intelligence - Data Intensive Scientific Computing

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

Table of contents 

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

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