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Download the fantastic book titled Linking Enterprise Data written by David Wood, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Linking Enterprise Data", which was released on 10 November 2010. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Linking Enterprise Data by David Wood PDF

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.

Linking Enterprise Data

Detail About Linking Enterprise Data PDF

  • Author : David Wood
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 291 pages
  • ISBN : 1441976655
  • PDF File Size : 14,5 Mb
  • Language : English
  • Rating : 5/5 from 1 reviews

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Linking Enterprise Data

Linking Enterprise Data
  • Publisher : Springer Science & Business Media
  • File Size : 45,9 Mb
  • Release Date : 10 November 2010
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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

Linking Enterprise Data

Linking Enterprise Data
  • Publisher : Springer
  • File Size : 29,7 Mb
  • Release Date : 25 November 2010
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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

Linked Data Management

Linked Data Management
  • Publisher : CRC Press
  • File Size : 32,7 Mb
  • Release Date : 19 April 2016
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Linked Data Management presents techniques for querying and managing Linked Data that is available on today's Web. The book shows how the abundance of Linked Data can serve as fertile

Linked Data

Linked Data
  • Publisher : Springer Nature
  • File Size : 52,5 Mb
  • Release Date : 31 May 2022
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The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a

Data as a Service

Data as a Service
  • Publisher : John Wiley & Sons
  • File Size : 30,5 Mb
  • Release Date : 31 July 2015
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Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to

The Semantic Web - ISWC 2010

The Semantic Web - ISWC 2010
  • Publisher : Springer Science & Business Media
  • File Size : 21,8 Mb
  • Release Date : 04 January 2011
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The two-volume set LNCS 6496 and 6497 constitutes the refereed proceedings of the 9th International Semantic Web Conference, ISWC 2010, held in Shanghai, China, during November 7-11, 2010. Part I contains 51 papers out of 578

Big, Open and Linked Data

Big, Open and Linked Data
  • Publisher : Springer Nature
  • File Size : 26,7 Mb
  • Release Date : 24 September 2022
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This book examines the recent evolution of the concept of data as an economic and managerial phenomenon. The author first describes and discusses open data and then introduces the concept

Linked Data in Linguistics

Linked Data in Linguistics
  • Publisher : Springer Science & Business Media
  • File Size : 35,6 Mb
  • Release Date : 21 February 2012
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The explosion of information technology has led to substantial growth of web-accessible linguistic data in terms of quantity, diversity and complexity. These resources become even more useful when interlinked with