Modeling uncertainty in context-aware computing

Uncertainty always exists as an unavoidable factor in any pervasive context-aware applications. This is mostly caused by the imperfectness and incompleteness of data. In this paper, we propose a novel approach to model the uncertain context. Our context model is a combination of two modeling methods: probabilistic models for capturing the uncertain information and ontology for facilitating knowledge reuse and sharing. Such combination of probabilistic models and ontology facilitates the sharing and reuse over similar domains of not only the logical knowledge but also the uncertain knowledge. Besides, we also support the uncertain reasoning in context-aware applications in a flexible and adaptive manner.

[1]  Gregory D. Abowd,et al.  Context-aware computing [Guest Editors' Intro.] , 2002, IEEE Pervasive Computing.

[2]  Lise Getoor,et al.  Learning Probabilistic Relational Models , 1999, IJCAI.

[3]  Steve Benford,et al.  Coping with Uncertainty in a Location-Based Game , 2003, IEEE Pervasive Comput..

[4]  Yasser Ebrahim,et al.  Managing uncertainty: modeling users in location-tracking applications , 2004, IEEE Pervasive Computing.

[5]  Frank van Harmelen,et al.  Web Ontology Language: OWL , 2004, Handbook on Ontologies.

[6]  Roy H. Campbell,et al.  Reasoning about Uncertain Contexts in Pervasive Computing Environments , 2004, IEEE Pervasive Comput..

[7]  Harry Chen,et al.  Intelligent Agents Meet the Semantic Web in Smart Spaces , 2004, IEEE Internet Comput..

[8]  Maria Ebling,et al.  The design and applications of a context service , 2002, MOCO.

[9]  Avi Pfeffer,et al.  Probabilistic Frame-Based Systems , 1998, AAAI/IAAI.

[10]  Mahadev Satyanarayanan,et al.  Coping with uncertainty , 2003, IEEE Pervasive Computing.

[11]  Albrecht Schmidt,et al.  Advanced Interaction in Context , 1999, HUC.

[12]  Daniel Salber,et al.  Modelling and Using Sensed Context Information in the Design of Interactive Applications , 2001, EHCI.

[13]  Gregory D. Abowd,et al.  Context-aware computing , 2002 .

[14]  Yun Peng,et al.  A probabilistic extension to ontology language OWL , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[15]  Hung Keng Pung,et al.  A BAYESIAN APPROACH FOR DEALING WITH UNCERTAIN CONTEXTS , 2004 .