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. Using a simple example, we explain the feasibility of this approach for developing context/ambient-aware applications that adapt to changes in the environment.

Efficient and rich context representation for Web applications / K. Takada, E. Damiani, S. Tsuruta, Y. Sakurai - In: The 7th International Conference on Signal Image Technology & Internet-Based Systems : SITIS 2011 : 28 novemember – 1 december 2011, Dijon, France : proceedings / [a cura di] K. Yetongnon, R. Chbeir, A. Dipanda. - Los Alamitos : Institute of electrical and electronics engineers, 2011. - ISBN 9781467304313. - pp. 83-88 (( Intervento presentato al 7. convegno International Conference on Signal-Image Technology and Internet-Based Systems (SITIS) tenutosi a Dijon, France nel 2011 [10.1109/SITIS.2011.70].

Efficient and rich context representation for Web applications

E. Damiani
Secondo
;
2011

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. Using a simple example, we explain the feasibility of this approach for developing context/ambient-aware applications that adapt to changes in the environment.
Business ; Cognition ; Context ; Context modeling ; Knowledge engineering ; Uncertainty
Settore INF/01 - Informatica
2011
IEEE
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/174978
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