K S Sagaya Priya* and Y Kalpana
The context-aware workflow structure can adjust its behaviour, mainly based on changes in the real world, which are generally collected by a large number of sensors.
Therefore, context-aware workflow modelling is an important topic in the context-aware workflow structure. Actual context data is expected to be often diverse and
complex. To better describe contextual data in business processes, this article provides a completely OWL (Web Ontology Language)-based method for modelling contextaware
workflows. In this article we describe the design, shape, and implementation of a general, flexible, and extensible contextual ontology, called Advanced Dynamic Environment-Based Ontology Modelling (ADEOntoM), used for generalized computing systems and environments Context and Situation Modeling. The proposed device allows the discovery, composition and delivery of automated contextual insertion services. The expected ontology is implemented using JAVA, and finally SPARQL language (simple protocol and RDF query language) is used for evaluation. Finally, using context statistics of a specific size and comparing it with different context modeling tests, the proposed version is demonstrated. The final test results show that the proposed modeling method should provide extraordinary overall performance for the build version and the problem in the context device.
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