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Current Biomedical Databases are independently administered in
geographically distinct locations, lending them almost ideally to
adoption of intelligent data management approaches. This book
focuses on research issues, problems and opportunities in
Biomedical Data Infrastructure identifying new issues and
directions for future research in Biomedical Data and Information
Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling
and Analysis. The book will be a useful guide for researchers,
practitioners, and graduate-level students interested in learning
state-of-the-art development in biomedical data management.
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.
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.
Current Biomedical Databases are independently administered in
geographically distinct locations, lending them almost ideally to
adoption of intelligent data management approaches. This book
focuses on research issues, problems and opportunities in
Biomedical Data Infrastructure identifying new issues and
directions for future research in Biomedical Data and Information
Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling
and Analysis. The book will be a useful guide for researchers,
practitioners, and graduate-level students interested in learning
state-of-the-art development in biomedical data management.
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