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. The World Wide Web is the only information system that scales to the degree that it does and is robust to both changes and failure of components. Most software does not work nearly as well as the Web does. Applying the Web's architectural principles (versus using the public Web directly) for enterprise problems maybe the only way to effectively address the current and future information glut.

Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web research, standards development and early adopters of Semantic Web standards and techniques. 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. The first section of this book will address business, technical and social values of applying Web architecture to enterprise content. An important focus of the first section will be the building of social (human-centered) communities to curate distributed data. The second section, Infrastructure, will address the need and options for persistent identifiers of data, terms and vocabularies for use by enterprise architects, and data storage and retrieval infrastructure appropriate for use. Case studies and examples that demonstrate the applicability of the proposed architectures are presented in the last section of Linking Enterprise Data.

About this book:

  • Provides practical approaches to addressing common information management issues by the application of leading edge research.
  • Application approaches are based on international standards.
  • Includes case studies and examples that demonstrate the applicability of the proposed architectures.

This book 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 and the Semantic Web. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.

 

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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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