Modeling an Ontology for Managing Contexts in Smart Meeting Space

In recent years, computing becomes more mobile and pervasive; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly dynamic environments. To allow interoperability in a context-aware computing environment (e.g. smart meeting space), it is necessary that the context terminology will be commonly understood by all the connected entities in a particular space. In this paper, we propose a context ontology model for smart meeting space. The proposed context ontology model defines seven major concepts those can be reused as well as provides the basic infrastructure to build an ontology model for smart space environments. As each smart environment may have different kinds of users, devices etc., we design domain-specific ontology for smart meeting space and implement a prototype for this ontology model using Protégé 3.2[1] ontology editor and RacerPro 1.9 [2] reasoning engine. We execute queries on our ontology using SPARQL [3] query language; furthermore, we define rules using SWRL [4] and infer those rules by JESS [5] rule engine. The proposed context ontology model has been designed to improve knowledge sharing, knowledge reuse, context querying and reasoning in a smart meeting space.