An adaptive rule-based approach for managing situation-awareness

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• 作者：Mario G.C.A. Cimino^a ; ^{m.cimino@iet.unipi.it} ; Beatrice Lazzerini^a ; ^{b.lazzerini@iet.unipi.it} ; Francesco Marcelloni^a ; ^{f.marcelloni@iet.unipi.it} ; Alessandro Ciaramella^b ; ^{a.ciaramella@imtlucca.it}
• 关键词：Situation awareness ; Context awareness ; Fuzzy rules ; Semantic Web ; Rule-based system
• 刊名：Expert Systems with Applications
• 出版年：2012
• 期刊代码：62_09574174
• 类别：et
• 出版时间：15 September, 2012
• 卷：39
• 期：12
• 页码：10796-10811
• 文件大小：2311 K

摘要

Situation awareness is a powerful paradigm that can efficiently exploit the increasing capabilities of handheld devices, such as smart phones and PDAs. Indeed, accurate understanding of the current situation can allow the device to proactively provide information and propose services to users in mobility. Of course, to recognize the situation is a challenging task, due to such factors as the variety of possible situations, uncertain and imprecise data, and different user鈥檚 preferences and behavior.

In this framework, we propose a robust and general rule-based approach to manage situation awareness. We adopt Semantic Web reasoning, fuzzy logic modeling, and genetic algorithms to handle, respectively, situational/contextual inference, uncertain input processing, and adaptation to the user鈥檚 behavior. We exploit an agent-oriented architecture so as to provide both functional and structural interoperability in an open environment. The system is evaluated by means of a real-world case study concerning resource recommendation. Experimental results show the effectiveness of the proposed approach.