Abstract
As rapid increasing of World-Wide Web technology, ontology and pervasive/ubiquitous concept become one of the most interesting parts recently. According to ubiquitous issue, activity modeling which has capability to provide proper context information of the user becomes important part of context awareness. In order to develop required services in intelligence environment; to get deep knowledge provision framework; and precise activities relationship; context of knowledge should be determined based on socio-environment situation. Based on that background, this paper is aimed to develop activity model through activity recognition by implementing semantic based reasoning to recognize human activity.
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Acknowledgments
This work is partially supported by Prof. Shuo-Yan Chou and Mr. Anindhita Dewabharata. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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Amnal, A., Dewabharata, A., Chou, SY., Erawan, M. (2013). Activity Modeling Using Semantic-Based Reasoning to Provide Meaningful Context in Human Activity Recognizing. In: Lin, YK., Tsao, YC., Lin, SW. (eds) Proceedings of the Institute of Industrial Engineers Asian Conference 2013. Springer, Singapore. https://doi.org/10.1007/978-981-4451-98-7_129
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DOI: https://doi.org/10.1007/978-981-4451-98-7_129
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