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Yu, Hong Qing; Zhao, Xia; Reiff-Marganiec, Stephan and Domingue, John
(2012).
DOI: https://doi.org/10.1109/ICWS.2012.16
URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...
Abstract
Nowadays personalised service provisioning becomes more feasible due to the increasing availability of smart devices, such as smart phones, tablet computers, Personal Digital Assistants and Playstations. These smart devices can dynamically detect the context data and upload them to support other interesting software applications, such as Facebook and Google maps. Context can become richer and more retrievable if links are established for semantically related context datasets. Taking advantage of the recent digital and Web technologies, this paper proposes a novel Linked Context model that applies the Linked Data principles to model and obtain context data from both users and services in one unified framework to support personalised service provisioning at runtime.
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- Item ORO ID
- 33760
- Item Type
- Conference or Workshop Item
- Extra Information
-
ICWS 2012
2012 IEEE International Conference on Web Services
edited by Carole Goble, Peter Cehn, and Jia Zhang
ISBN 978-0-7695-4752-7
pp.376-383 - Keywords
- linked data; linked context; semantic web; service provisioning; personalisation
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2012 IEEE
- Depositing User
- Kay Dave