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Springer - Linking Enterprise Data - Semantic Web Research

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Description

As enterprise data expands at a rate that exceeds the capabilities of traditional technologies, new architectures are necessary to manage modern information systems. Linking Enterprise Data provides a way forward by applying World Wide Web architecture principles to real-world information management. This volume addresses the challenges faced by commercial and not-for-profit organizations in handling rapid data growth. This book is an edited volume featuring contributions from global leaders in Semantic Web and Linked Data research. It covers standards development and adoption, offering technical insights into how web-based techniques can be integrated into enterprise information systems. Readers will find a professional perspective on bridging the gap between existing technologies and the evolving needs of large-scale data environments.

Key Features

Explores new enterprise architectures that combine existing technologies to handle rapid data growth.

Applies World Wide Web architecture principles to solve real-world information management issues.

Features contributions from worldwide leaders in Semantic Web and Linked Data research.

Provides insights into the development and adoption of data standards.

Addresses information management challenges for both commercial and not-for-profit organizations.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 November 2010
Listed Since
10 August 2010

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