Title :
Generic context ontology modelling: A review and framework
Author :
Zainol, Zuraini ; Nakata, Keiichi
Author_Institution :
Inf. Res. Centre, Univ. of Reading, Reading, UK
Abstract :
Improvements in context modelling and reasoning techniques have facilitated the development of context-aware applications, where these applications need to accommodate and respond autonomously to changing context information. Context is often used to refer to any piece of information regarding the surrounding environment, where human activities and computing tasks take place. In this paper, we propose a generic context model, which consists of three fundamental classes, namely Extrinsic Context, Interface Context, and Intrinsic Context. The goal of the proposed framework is to represent context information in general, which can be implemented to facilitate common context representation, context matching, and context reasoning.
Keywords :
inference mechanisms; ontologies (artificial intelligence); ubiquitous computing; context aware applications; context matching; context modelling; context reasoning; context representation; extrinsic context; generic context ontology modelling; interface context; intrinsic context; reasoning techniques; Context; Lighting; Context; Context ontology model; Extrinsic Context; Interface Context; Intrinsic Context; component;
Conference_Titel :
Computer Technology and Development (ICCTD), 2010 2nd International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8844-5
Electronic_ISBN :
978-1-4244-8845-2
DOI :
10.1109/ICCTD.2010.5646137