Bringing sensor- and context-awareness to the Web promises to open new, tremendous business opportunities. However, context-awareness involves difficult problems such as modeling social / human affairs (e.g. law, personal preferences, etc.), handling incomplete information, and managing uncertainty of sensor data. We argue that fully-fledged, Semantic-Web-style reasoning in presence of uncertainty is neither always feasible, nor always necessary for a context-based Web. As an alternative, this paper proposes a highly expressive, simple, and efficient context representation for sensor-enabled Web services. Our representation is based on a syntax inspired by standard Semantics of Business Vocabulary and Business Rules (SBVR), enriched by annotations expressing prioritized modality and trust values. The feasibility of our approach is demonstrated via a case study for developing context/ambient-aware applications that adapt to changes in the environment.
Rich context representation for situation aware system / K. Takada, P. Ceravolo, E. Damiani, S. Tsuruta - In: 2012 Sixth international conference on complex, intelligent, and software intensive systems : CISIS 2012 : 4–6 july 2012, Palermo, Italy : proceedings / [a cura di] L. Barolli, F. Xhafa, S. Vitabile, M. Uehara. - Los Alamitos : Institute of electrical and electronics engineering, 2012. - ISBN 9781467312332. - pp. 717-722 (( Intervento presentato al 6. convegno International Conference on Complex, Intelligent and Software Intensive Systems (CISIS) tenutosi a Palermo nel 2012 [10.1109/CISIS.2012.177].
Rich context representation for situation aware system
P. CeravoloSecondo
;E. DamianiPenultimo
;
2012
Abstract
Bringing sensor- and context-awareness to the Web promises to open new, tremendous business opportunities. However, context-awareness involves difficult problems such as modeling social / human affairs (e.g. law, personal preferences, etc.), handling incomplete information, and managing uncertainty of sensor data. We argue that fully-fledged, Semantic-Web-style reasoning in presence of uncertainty is neither always feasible, nor always necessary for a context-based Web. As an alternative, this paper proposes a highly expressive, simple, and efficient context representation for sensor-enabled Web services. Our representation is based on a syntax inspired by standard Semantics of Business Vocabulary and Business Rules (SBVR), enriched by annotations expressing prioritized modality and trust values. The feasibility of our approach is demonstrated via a case study for developing context/ambient-aware applications that adapt to changes in the environment.Pubblicazioni consigliate
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