Context-aware paradigm is intended to make decisions proactively for users to adapt to contexts changes in a pervasive environment so as to improve users' work efficiency. However, this commitment deduces because of the intrinsic uncertainty i.e. incompleteness, inaccuracy and inconsistency of context-aware paradigm. We bring forward a situation-aware approach, supported by Bayesian Networks, ontology and Domain Specific Language techniques, for dealing with uncertain context-aware paradigm. Situation, a description of logically combined contexts, is high-level abstract contexts; hence, it can shield the trivialness and inconstancy of low-level contexts. BN mapping contexts to situations is good at dealing with incomplete, inaccurate and erroneous low-level contexts; ontology is referred to eliminate inconsistencies among situations and contexts. Besides, DSL can offer flexibilities for its easy readability and good reusability. Also, interruption ratio, precision and efficiency are evaluated to validate the effectiveness of our approach w.r.t. a situation-aware multimedia conference application.
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