A survey on the evolution of the notion of context-awareness
Article
Augusto, J., Aztiria, A., Kramer, D. and Alegre, U. 2017. A survey on the evolution of the notion of context-awareness. Applied Artificial Intelligence. 31 (7-8), pp. 613-642. https://doi.org/10.1080/08839514.2018.1428490
Type | Article |
---|---|
Title | A survey on the evolution of the notion of context-awareness |
Authors | Augusto, J., Aztiria, A., Kramer, D. and Alegre, U. |
Abstract | The notion of Context has been considered for a long time in different areas of Computer Science. This article considers the use of context-based reasoning from the earlier perspective of AI as well as the newer developments in Ubiquitous Computing. Both communities have been somehow interested in the potential of context-reasoning to support real-time meaningful reactions from systems. We explain how the concept evolved in each of these different approaches. We found initially each of them considered this topic quite independently and separated from each other, however latest developments have started to show signs of cross-fertilization amongst these areas. The aim of our survey is to provide an understanding on the way context and context-reasoning were approached, to show that work in each area is complementary, and to highlight there are positive synergies arising amongst them. The overarching goal of this article is to encourage further and longer-term synergies between those interested in further understanding and using context-based reasoning. |
Research Group | Research Group on Development of Intelligent Environments |
Publisher | Taylor and Francis |
Journal | Applied Artificial Intelligence |
ISSN | 1087-6545 |
Publication dates | |
Online | 20 Feb 2018 |
14 Sep 2017 | |
Publication process dates | |
Deposited | 15 Jan 2018 |
Submitted | 21 Jul 2017 |
Accepted | 12 Jan 2018 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Artificial Intelligence on 20/02/2018, available online: http://www.tandfonline.com/10.1080/08839514.2018.1428490 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/08839514.2018.1428490 |
Language | English |
https://repository.mdx.ac.uk/item/8766x
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