Editors:
Information capture, representation with simple, rich and maximized reusability
Information maintenance, validation and integration
Reusable systems, including software tools, web services and mining techniques
Includes supplementary material: sn.pub/extras
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (14 chapters)
-
Front Matter
-
Back Matter
About this book
The present work covers the latest developments and discoveries related to information reuse and integration in academia and industrial settings. The need for dealing with the large volumes of data being produced and stored in the last decades and the numerous systems developed to deal with these is increasingly necessary. Not all these developments could have been achieved without the investing large amounts of resources. Over time, new data sources evolve and data integration continues to be an essential and vital requirement. Furthermore, systems and products need to be revised to adapt new technologies and needs. Instead of building these from scratch, researchers in the academia and industry have realized the benefits of reusing existing components that have been well tested. While this trend avoids reinventing the wheel, it comes at the cost of finding the optimum set of existing components to be utilized and how they should be integrated together and with the new non-existing components which are to be developed. These nontrivial tasks have led to challenging research problems in the academia and industry. These issues are addressed in this book, which is intended to be a unique resource for researchers, developers and practitioners.
Keywords
- Automation, Integration and Reuse Across Various Applications
- Component-based Design and Reuse
- Data Mining and Knowledge Discovery
- Database Integration
- Information Security & Privacy
- Large Scale Data and System Integration
- Middleware & Web Services
- Reuse in Modeling & Simulation
- Reuse in Software Engineering
- Sensory and Information Fusion
- Structured/Semi-structured Data
- Unifying Data Models and Ontologies
Editors and Affiliations
-
TOBB University Department of Computer Engineering, Sogutozu Ankara, Turkey
Tansel Özyer
-
Department of Electrical Engineering Thompson Engineering, University of West Ontario, London, Canada
Keivan Kianmehr
-
Tobb Etü Economics and Technology Univer, Ankara, Turkey
Mehmet Tan
-
Baylor College of Medicine, Houston, USA
Jia Zeng
Bibliographic Information
Book Title: Information Reuse and Integration in Academia and Industry
Editors: Tansel Özyer, Keivan Kianmehr, Mehmet Tan, Jia Zeng
DOI: https://doi.org/10.1007/978-3-7091-1538-1
Publisher: Springer Vienna
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Wien 2013
Hardcover ISBN: 978-3-7091-1537-4Published: 21 November 2013
Softcover ISBN: 978-3-7091-4842-6Published: 23 August 2016
eBook ISBN: 978-3-7091-1538-1Published: 08 November 2013
Edition Number: 1
Number of Pages: XII, 306
Number of Illustrations: 103 b/w illustrations
Topics: Information Systems and Communication Service, Organizational Studies, Economic Sociology