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What is Semantic Technologies

Handbook of Research on Computational Science and Engineering: Theory and Practice
Encoding of meaning separately from data files, content files, and application codes to enable machines as well as people to understand, share and reason with them at execution time
Published in Chapter:
Integrating Data Management and Collaborative Sharing with Computational Science Research Processes
Kerstin Kleese van Dam (Pacific Northwest National Laboratory, USA), Mark James (University of California San Diego, USA), and Andrew M. Walker (University of Bristol, UK)
DOI: 10.4018/978-1-61350-116-0.ch021
Abstract
This chapter describes the key principles and components of a good data management system, provides real world examples of how these can be successfully integrated with scientific research processes and enable successful data sharing, provides an outlook on future developments, and discusses lessons learned. We conclude with a short section on how to get started for those whose interest has been piqued.
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Social/Human Dimensions of Web Services: Communication Errors and Cultural Aspects
provide an abstraction layer above existing information technologies in order to bridge and interconnect data, content, and processes. Using semantic technologies, the process of adding, changing and implementing new relationships or interconnecting programs is relatively straightforward. From the portal perspective, semantic technologies can be thought of as a new level of depth that provides an improved, intelligent, relevant, and responsive interaction compared to that available with “classical” information technologies alone.
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Trust Management and Context-Driven Access Control
Technologies that permit to add semantic metadata to information resources. Semantic metadata allow to effectively process data, for instance via automated inferences, that is, understanding what a data resource is and how it relates to other data independently of its name and syntax.
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