Linking Enterprise Data

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 Ente...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wood, David (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Temas:
Computer networks .
Application software.
Business information services.
Information storage and retrieval systems.
Electronic data processing-Management.
Computer Communication Networks.
Computer and Information Systems Applications.
IT in Business.
Information Storage and Retrieval.
IT Operations.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Why Link Enterprise Data?
  • Semantic Web and the Linked Data Enterprise
  • The Role of Community-Driven Data Curation for Enterprises
  • Approval and Support of Linked Data Projects
  • Preparing for a Linked Data Enterprise
  • Selling and Building Linked Data: Drive Value and Gain Momentum
  • Techniques for Linking Enterprise Data
  • Enhancing Enterprise 2.0 Ecosystems Using Semantic Web and Linked Data Technologies:The SemSLATES Approach
  • Linking XBRL Financial Data
  • Scalable Reasoning Techniques for Semantic Enterprise Data
  • Reliable and Persistent Identification of Linked Data Elements
  • Success Stories
  • Linked Data for Fighting Global Hunger:Experiences in setting standards for Agricultural Information Management
  • Enterprise Linked Data as Core Business Infrastructure
  • Standardizing Legal Content with OWL and RDF
  • A Role for Semantic Web Technologies in Patient Record Data Collection
  • Use of Semantic Web technologies on the BBC Web Sites.

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