OWL-based verifying temporal properties for pervasive computing

The OWL 1has been as a modeling language to formalize context-awareness pervasive environments. And also, various kinds of context ontologies in the OWL are proposed to conceptualize the entities for describing pervasive computing environments. With increasingly considering about spatial and temporal expressive capabilities and properties related for pervasive computing, these approaches provide some methods for context reasoning. However, for context reasoning on temporal properties relating to the behaviors of each entity in pervasive environments, the reasoning mechanism in these approach are not sufficient to follow ontology reasoning, such ontology entailment or consistence. Therefore, the OWL-based Past Linear Temporal Logic is proposed to formulate temporal properties along a sequence of context or situation changes using a fragment of the OWL. In particular, with refining the method for reducing the validity of contextual temporal properties into the entailment relationship in the OWL, we propose an approach to transform the verification of the authenticity in a sequence of interactions into the validity of the Past-LTL formula corresponding.