- Offers practical approaches to common information management based on leading edge Linked Data research
- The approaches described are based on international standards
- Includes case studies and real-world examples from early enterprise adopters
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- About this book
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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.
- Reviews
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From the reviews:
“An important goal of the book is to propagate notions and techniques related to the semantic Web. … The book suggests and demonstrates the social aspects of linking enterprise data effectively. … This book is for managers and system architects who are interested in building enterprise-wide information services for heterogeneous data on the Web, and who want to enhance Web 2.0 technologies.” (K. Balogh, ACM Computing Reviews, November, 2011)
- Table of contents (13 chapters)
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Semantic Web and the Linked Data Enterprise
Pages 3-23
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The Role of Community-Driven Data Curation for Enterprises
Pages 25-47
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Preparing for a Linked Data Enterprise
Pages 51-64
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Selling and Building Linked Data: Drive Value and Gain Momentum
Pages 65-76
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Enhancing Enterprise 2.0 Ecosystems Using Semantic Web and Linked Data Technologies:The SemSLATES Approach
Pages 79-102
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Table of contents (13 chapters)
- Download Preface 1 PDF (67.5 KB)
- Download Sample pages 1 PDF (702.1 KB)
- Download Table of contents PDF (63.5 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Linking Enterprise Data
- Editors
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- David Wood
- Copyright
- 2010
- Publisher
- Springer US
- Copyright Holder
- Springer Science+Business Media, LLC
- eBook ISBN
- 978-1-4419-7665-9
- DOI
- 10.1007/978-1-4419-7665-9
- Hardcover ISBN
- 978-1-4419-7664-2
- Softcover ISBN
- 978-1-4899-8170-7
- Edition Number
- 1
- Number of Pages
- XXVI, 291
- Topics
