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In recent years, an increasing social dependency has been observed over the cell phones and now evolved into smart devices. Due to the rapid escalation of these smart devices, users are becoming habitual in utilizing these services using smartphones and/or wearable devices in which different applications are running to assist and facilitate users in daily life routine activities. Mobility and context-awareness are the core features of pervasive computing. Context-awareness has the capability to identify the current situation and respond accordingly in the environment whenever and wherever needed. However, it is quite challenging to detect and sense the more appropriate contextual information when various interactive devices communicate among themselves. This paper presents the semantic knowledge transformation techniques for ontology-driven context-aware formalisms to model heterogeneous systems. We propose theoretical as well as practical approaches to transform semantic knowledge into firstorder Horn-clause rules format which can be used by contextaware multi-agent systems to achieve their desired goals.