Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Linking Enterprise Data

David Wood (Herausgeber)

Buch | Hardcover
291 Seiten
2010
Springer-Verlag New York Inc.
978-1-4419-7664-2 (ISBN)

Lese- und Medienproben

Linking Enterprise Data -
CHF 229,95 inkl. MwSt
  • Versand in 10-15 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken
This book methods for applying World Wide Web architecture principles to real-world information management issues faced by commercial, nonprofit and government enterprises. Coverage includes real-world success stories from early enterprise adopters.
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.

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.

Zusatzinfo XXVI, 291 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Informatik Netzwerke
Informatik Office Programme Outlook
Informatik Software Entwicklung User Interfaces (HCI)
Mathematik / Informatik Informatik Web / Internet
Informatik Weitere Themen Hardware
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
ISBN-10 1-4419-7664-7 / 1441976647
ISBN-13 978-1-4419-7664-2 / 9781441976642
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Daten importieren, bereinigen, umformen und visualisieren

von Hadley Wickham; Mine Çetinkaya-Rundel …

Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 76,85
eine Einführung mit Python, Scikit-Learn und TensorFlow

von Oliver Zeigermann; Chi Nhan Nguyen

Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 27,85
Das umfassende Handbuch

von Wolfram Langer

Buch | Hardcover (2023)
Rheinwerk (Verlag)
CHF 69,85