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...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Book |
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Springer-Verlag
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/24584 |
| _version_ | 1848751471297822720 |
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| author | Dhillon, S. Sidhu, Amandeep |
| author2 | Janusz Kacprzyk |
| author_facet | Janusz Kacprzyk Dhillon, S. Sidhu, Amandeep |
| author_sort | Dhillon, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T07:53:15Z |
| format | Book |
| id | curtin-20.500.11937-24584 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:53:15Z |
| publishDate | 2013 |
| publisher | Springer-Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-245842018-12-14T00:52:03Z Data intensive computing for biodiversity Dhillon, S. Sidhu, Amandeep Janusz Kacprzyk 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. 2013 Book http://hdl.handle.net/20.500.11937/24584 10.1007/978-3-642-38047-1 Springer-Verlag restricted |
| spellingShingle | Dhillon, S. Sidhu, Amandeep Data intensive computing for biodiversity |
| title | Data intensive computing for biodiversity |
| title_full | Data intensive computing for biodiversity |
| title_fullStr | Data intensive computing for biodiversity |
| title_full_unstemmed | Data intensive computing for biodiversity |
| title_short | Data intensive computing for biodiversity |
| title_sort | data intensive computing for biodiversity |
| url | http://hdl.handle.net/20.500.11937/24584 |