Data Intensive Computing for Biodiversity
By: by Sarinder K. Dhillon, Amandeep S. Sidhu
Contributors: Sidhu, Amandeep S.; SpringerLink (Online service)
Series: Studies in Computational Intelligence -- 485
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 126
ISBN-13: 9783642380471
Subjects: Engineering; Computational intelligence; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: 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.
Table of contents: title: Introduction; title: Preliminary Study; title: Literature Review; title: Methodology; title: Biodiversity Databases; title: Proposed Solution.