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However, the Context Toolkit does not provide a common context model to enable knowledge sharing and context reasoning.
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They introduce several use cases for a meeting room and employ context reasoning.
Also, we discuss the challenges for context reasoning and interpreting and we present a case study to demonstrate the benefits of the developed concepts.
Through the use of model-driven architecture (MDA) and semantic web technologies, CaTSP can enable context reasoning and service personalization adaption.
Between the spatial context reasoning and behavior reasoning of activities, a modified duration HMM is applied to extract activities.
We also propose a formal context model based on ontology using Web Ontology Language to address issues including semantic representation, context reasoning, context classification and dependency.
In comparison the context framework [3] consists of three main agents for the handling of contextual information, the context collecting agent (CCA), context reasoning agent (CRA) and context management agent (CMA).
In summary, the main contribution of this paper is the presentation of the design of the OCarePlatform, which combines expressive OWL-DL context reasoning, distributed management of the context model and information, intelligent filtering of context information, and distributed deployment of the publish/subscribe mechanism and inclusion of a cache to increase scalability.
In current implementation, simple context reasoning is implemented to find relevant user location (address) and weather information.
The implementation section of this article describes how the context reasoning component employee different level of reasoning techniques such as knowledge acquisition, context based rule execution and the application of ontology in pervasive computing.
Another approach for ontology-grounded context reasoning is taken in [36], where the suggested system uses OWL for context modeling.
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