Linking Enterprise Data

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wood, David (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2010.
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Computer communication systems.; Computers.; Information storage and retrieval.; Management information systems.; Computer Science.; Computer Communication Networks.; Information Systems Applications (incl. Internet).; IT in Business.; Information Storage and Retrieval.; Management of Computing and Information Systems.; Information Systems and Communication Service.

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...

Πίνακας περιεχομένων:

• 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.