Applied Ontology Engineering in Cloud Services, Networks and Management Systems
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
- PDF / 4,125,789 Bytes
- 219 Pages / 439.37 x 666.14 pts Page_size
- 67 Downloads / 238 Views
J. Martín Serrano Orozco
Applied Ontology Engineering in Cloud Services, Networks and Management Systems
J. Martín Serrano Orozco National University of Ireland Galway - NUIG Digital Enterprise Research Institute - DERI Lower Dangan - IDA Business Park Co. Galway, Galway City, GALCT, Ireland [email protected]
ISBN 978-1-4614-2235-8 e-ISBN 978-1-4614-2236-5 DOI 10.1007/978-1-4614-2236-5 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011944830 © Springer Science+Business Media, LLC 2012 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To Jaime and Oliva… To Irene, Fernando and Luis… To Karla, Diego and Omar…
Preface
In the Information and Communications Technology (ICT) sector where metadata standards are proliferating at unprecedented levels and automated information management systems need to collect and process information from, every day, sensors, devices, applications, systems, etc., the interoperability of the information and the knowledge exchange is identified as one of the major challenges. Furthermore, this necessity continues increasing as result of the everyday new demands for smarter services and the large amount of information captured and generated electronically, and also for today’s trend about the information being processed and stored in cloud applications. The introduction of these cited new demands bring as clear consequence the inevitable diversification of information, then as a predictable requirement, efficient data collection and optimal processing mechanism have to be designed and implemented and service providers, operators and infrastructure managers have to operate with many different standards and vocabularies. The use of semantic techniques to face up this requirement sounds as an optimum approach providing advantages in terms of facilitating data and information mapping. However those semantic techniques are becoming very costly, in terms of computing resources and time-response factors, resulting in loss of business opportunities because existing systems are not adaptable enough to those scalability demands. If this cross-domain and information sharing problem is translated into the communications domain, as a result, it is necessary to deal with the most common scenari
Data Loading...
