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Applied Ontology Engineering in Cloud Services, Networks and Management Systems
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Bibliographic Detail
Publisher Springer Verlag
Publication date April 12, 2014
Binding Paperback
Book category Adult Non-Fiction
ISBN-13 9781489985873
ISBN-10 1489985875
Dimensions 0 by 6.10 by 9.25 in.
Original list price $149.00
Other format details sci/tech
Summaries and Reviews
Amazon.com description: Product Description:

Metadata standards in today’s ICT sector are proliferating at unprecedented levels, while automated information management systems collect and process exponentially increasing quantities of data. With interoperability and knowledge exchange identified as a core challenge in the sector, this book examines the role ontology engineering can play in providing solutions to the problems of information interoperability and linked data. At the same time as introducing basic concepts of ontology engineering, the book discusses methodological approaches to formal representation of data and information models, thus facilitating information interoperability between heterogeneous, complex and distributed communication systems. In doing so, the text advocates the advantages of using ontology engineering in telecommunications systems. In addition, it offers a wealth of guidance and best-practice techniques for instances in which ontology engineering is applied in cloud services, computer networks and management systems.

 

Engineering and computer science professionals (infrastructure architects, software developers, service designers, infrastructure operators, engineers, etc.) are today confronted as never before with the challenge of convergence in software solutions and technology. This book will help them respond creatively to what is sure to be a period of rapid development.



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Paperback
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from Springer Verlag (April 12, 2014)
9781489985873 | details & prices | List price $149.00
About: Metadata standards in today’s ICT sector are proliferating at unprecedented levels, while automated information management systems collect and process exponentially increasing quantities of data.

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