Enterprise data is growing at a much faster rate than
traditional technologies allow. New enterprise architectures
combining existing technologies are desperately needed. This book
suggests a way forward by applying new techniques of the World Wide
Web to enterprise information systems.
"Linking Enterprise Data" is an edited volume contributed by
worldwide leaders in Semantic Web and Linked Data research,
standards development and adoption. Linking enterprise data is the
application of World Wide Web architecture principles to real-world
information management issues faced by commercial, not-for-profit
and government enterprises. This book is divided into four
sections: Benefits of applying Linked Data principles in enterprise
settings, enterprise approval and support of Linked Data projects,
specific Linked Data techniques and a number of real-world success
stories from early enterprise adopters.
"Linking Enterprise Data" targets professionals working as CTOs,
CIOs, enterprise architects, project managers and application
developers in commercial, not-for-profit and government
organizations concerned with scalability, flexibility and
robustness of information management systems. Computer science
graduate students and researchers focusing on enterprise
information integration will also benefit.
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