Linking Enterprise Data

Framsida
David Wood
Springer Science & Business Media, 10 nov. 2010 - 291 sidor

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.

 

Innehåll

Semantic Web and the Linked Data Enterprise
3
The Role of CommunityDriven Data Curation for Enterprises
25
Part II Approval and Support of Linked Data Projects
49
Preparing for a Linked Data Enterprise
51
Drive Value and Gain Momentum
65
Part III Techniques for Linking Enterprise Data
77
The Sem SLATES Approach
79
Linking XBRL Financial Data
103
Part IV Success Stories
175
Experiences in setting standards for Agricultural Information Management
177
Enterprise Linked Data as Core Business Infrastructure
203
Standardizing Legal Content with OWL and RDF
221
A Role for Semantic Web Technologies in Patient Record Data Collection
241
Use of Semantic Web technologies on the BBC Web Sites
263
Glossary
285
Index
289

Scalable Reasoning Techniques for Semantic Enterprise Data
127
Reliable and Persistent Identification of Linked Data Elements
149

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