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Dynamic Generation of Context Rules
Author(s) -
Waltenegus Dargie
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-34739-9
DOI - 10.1007/11767886_8
Subject(s) - computer science , context (archaeology) , set (abstract data type) , a priori and a posteriori , context model , human–computer interaction , scheme (mathematics) , artificial intelligence , theoretical computer science , distributed computing , programming language , mathematics , paleontology , mathematical analysis , philosophy , epistemology , object (grammar) , biology
This paper presents a scheme for the dynamic generation of context rules which are useful for modifying the behaviour of mobile devices according to the social and physical settings of their users. Existing context-aware systems employ a pool of predefined rules which will be executed whenever a context of interest is sensed and captured. Defining rules at design time, however, has the following limitations: (1) The system designer should identify the set of context primitives which describe a context of interest as accurately as possible; (2) the various states of each context primitive should be predetermined and mapped to sensory data, which often requires experience or expertise; (3) the availability of mechanisms for capturing the context primitives is presupposed; if instead of the specified context primitives other context primitives are discovered, which may equally describe a similar situation, the system does not react to them, unless of course, all possible alternatives are foreseen; and (4) the desired behaviour itself may not be a priori known, as it is specific to the user. To facilitate a flexible use of context rules, they should be generated dynamically. The scheme proposed in this paper associates decision events – signifying the activities of a user – with a set of context primitives which are acquired at the time the decision events are produced. From the decision-context associations, context rules are generated. The Context-Aware E-Pad will be introduced to illustrate the scheme proposed.

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