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What is Semantic Knowledge

Handbook of Research on Scalable Computing Technologies
Designs the enriched value of the information. Raw information coming from sensors or monitored by the system is not enough to achieve ubiquitous access to resources. Only higher level abstractions allow for handling seamlessly the system.
Published in Chapter:
Pervasive Grids: Challenges and Opportunities
Manish Parashar (Rutgers - The State University of New Jersey, USA) and Jean-Marc Pierson (Paul Sabatier University, France)
Copyright: © 2010 |Pages: 17
DOI: 10.4018/978-1-60566-661-7.ch002
Abstract
Pervasive Grid is motivated by the advances in Grid technologies and the proliferation of pervasive systems, and is leading to the emergence of a new generation of applications that use pervasive and ambient information as an integral part to manage, control, adapt and optimize. However, the inherent scale and complexity of Pervasive Grid systems fundamentally impact how applications are formulated, deployed and managed, and presents significant challenges that permeate all aspects of systems software stack. In this chapter, the authors present some use-cases of Pervasive Grids and highlight their opportunities and challenges. They then present why semantic knowledge and autonomic mechanisms are seen as foundations for conceptual and implementation solutions that can address these challenges.
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