Toward Dynamic Adoption for a User's Situation Information in a Context-Aware Workflow System
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Modeling Smart Homes for Prediction Algorithms
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Context-sensitive adaptation of workflows
Proceedings of the doctoral symposium for ESEC/FSE on Doctoral symposium
A context-aware workflow system for dynamic service adaptation
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
A context-adaptive workflow language for ubiquitous computing environments
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
An OWL-based context model for u-agricultural environments
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part IV
Making workflows situation aware: an ontology-driven framework for dynamic spatial systems
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Context consistency management using ontology based model
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Shadow: a middleware in pervasive computing environment for user controllable privacy protection
EuroSSC'06 Proceedings of the First European conference on Smart Sensing and Context
A context-aware service model based on the OSGi framework for u-agricultural environments
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
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Pervasive computing is to enhance the environment by embedding many computers that are gracefully integrated with human users. To achieve this, the key research thrust is to create a smart context-awareness environment which should enclose various users and satisfy different needs of the users. Building such smart environments is still difficult and complex due to lacking a uniform infrastructure that can adapt to diverse smart domains. To address this problem, we propose a context-aware computing infrastructure, called FollowMe. Our infrastructure integrates an ontology based context model and a workflow based application model with the OSGi framework. By plugging different domain contexts and applications, FollowMe can be customized to various domains.