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| Ontology-Based Context-Aware Middleware for Smart Spaces | |
| 引用本文： | 秦伟俊 史元春 索岳. Ontology-Based Context-Aware Middleware for Smart Spaces[J]. 清华大学学报, 2007, 12(6): 707-713. DOI: 10.1016/S1007-0214(07)70179-7 |
| 作者姓名： | 秦伟俊 史元春 索岳 |
| 作者单位： | Department of Computer Science and Technology Tsinghua University，Department of Computer Science and Technology Tsinghua University，Department of Computer Science and Technology Tsinghua University，Beijing 100084 China，Beijing 100084 China，Beijing 100084 China |
| 基金项目： | 清华大学智能技术与系统国家重点实验室开放性基金;国家高技术研究发展计划(863计划) |
| 摘 要： | Context-awareness enhances human-centric, intelligent behavior in a smart environment; however, context-awareness is not widely used due to the lack of effective infrastructure to support context-aware ap- plications. This paper presents an agent-based middleware for providing context-aware services for smart spaces to afford effective support for context acquisition, representation, interpretation, and utilization to ap- plications. The middleware uses a formal context model, which combines first order probabilistic logic (FOPL) and web ontology language (OWL) ontologies, to provide a common understanding of contextual in- formation to facilitate context modeling and reasoning about imperfect and ambiguous contextual informa- tion and to enable context knowledge sharing and reuse. A context inference mechanism based on an ex- tended Bayesian network approach is used to enable automated reactive and deductive reasoning. The middleware is used in a case study in a smart classroom, and performance evaluation result shows that the context reasoning algorithm is good for non-time-critical applications and that the complexity is highly sensi- tive to the size of the context dataset. |
| 关 键 词： | 本体论 模型理论 概率 逻辑关系 |
| 收稿时间： | 2006-12-29 |
| 修稿时间： | 2007-06-21 |
Ontology-Based Context-Aware Middleware for Smart Spaces |
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| Weijun Qin, ,#xe;,#xff;,#xfca;, Yuanchun Shi, ,#xf;,#x;,#x;,Yue Suo, ,#xd; ,#xcb;. Ontology-Based Context-Aware Middleware for Smart Spaces[J]. Tsinghua Science and Technology, 2007, 12(6): 707-713. DOI: 10.1016/S1007-0214(07)70179-7 | |
| Authors: | Weijun Qin, ÿ ࿊ , Yuanchun Shi, &#x &#x ,Yue Suo, Ë |
| Affiliation: | aDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China |
| Abstract: | Context-awareness enhances human-centric, intelligent behavior in a smart environment; however, context-awareness is not widely used due to the lack of effective infrastructure to support context-aware ap- plications. This paper presents an agent-based middleware for providing context-aware services for smart spaces to afford effective support for context acquisition, representation, interpretation, and utilization to ap- plications. The middleware uses a formal context model, which combines first order probabilistic logic (FOPL) and web ontology language (OWL) ontologies, to provide a common understanding of contextual in- formation to facilitate context modeling and reasoning about imperfect and ambiguous contextual informa- tion and to enable context knowledge sharing and reuse. A context inference mechanism based on an ex- tended Bayesian network approach is used to enable automated reactive and deductive reasoning. The middleware is used in a case study in a smart classroom, and performance evaluation result shows that the context reasoning algorithm is good for non-time-critical applications and that the complexity is highly sensi- tive to the size of the context dataset. |
| Keywords: | context-aware system smart spaces ontology context model first-order probabilistic logic |
| 本文献已被 CNKI 维普 万方数据 ScienceDirect 等数据库收录！ | |