CDL: an Integrated Framework for Context Specification and Recognition

A framework is introduced that is aimed at integrating ontology and logic approaches for context-awareness, suitable for use in Ambient Intelligence (AmI) scenarios. In particular, the context description language CDL is described, which allows to easily specify patterns of events which occurrences must be monitored by actual systems. As long as systems evolve, symbolic data originating from heterogeneous sources are first aggregated and then classified according to formulas described in CDL. Experimental results performed in a Smart Home environment are presented and discussed.

[1]  Claudia Linnhoff-Popien,et al.  A Context Modeling Survey , 2004 .

[2]  Fulvio Mastrogiovanni,et al.  An Active Classification System for Context Representation and Acquisition , 2007, AITamI@IJCAI.

[3]  Zu-De Zhou,et al.  Distributed Temperature Control System Based on Multi-Sensor Data Fusion , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[4]  Ichiro Satoh,et al.  A location model for smart environments , 2007, Pervasive Mob. Comput..

[5]  Michal Wozniak,et al.  Proposition of common classifier construction for pattern recognition with context task , 2006, Knowl. Based Syst..

[6]  John McCarthy,et al.  Notes on Formalizing Context , 1993, IJCAI.

[7]  Donald E. Brown,et al.  Health-status monitoring through analysis of behavioral patterns , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[8]  Juan Carlos Augusto,et al.  Enhanced Healthcare Provision Through Assisted Decision-Making in a Smart Home Environment , 2007 .

[9]  Eun Jung Ko,et al.  Ontology-Based Context Modeling and Reasoning for U-HealthCare , 2007, IEICE Trans. Inf. Syst..

[10]  Fausto Giunchiglia,et al.  Multilanguage hierarchical logics (or: how we can do without modal logics) , 1994, CNKBS.

[11]  Diane J. Cook,et al.  How smart are our environments? An updated look at the state of the art , 2007, Pervasive Mob. Comput..

[12]  Qiang Ji,et al.  Spatio-Temporal Context for Robust Multitarget Tracking , 2007 .

[13]  Roy H. Campbell,et al.  A Middleware for Context-Aware Agents in Ubiquitous Computing Environments , 2003, Middleware.

[14]  Ian Horrocks DAML+OIL: A Reason-able Web Ontology Language , 2002, EDBT.

[15]  Sven Buchholz,et al.  Modeling of Context Information for Pervasive Computing Applications , 2002 .

[16]  Richard Dapoigny,et al.  Towards a Context Theory for Context-aware systems , 2007, AITamI@IJCAI.