A Semantic-Based Approach to Modelling Smart Indoor Kitchen Garden

Smart indoor kitchen garden environments have a significant potential to provide for monitoring of plants where a user can grow selected plants without any prior knowledge. Such environments are typically equipped with a number of heterogeneous sensors that monitor environmental parameters. This paper presents a formal system development framework, called Planquarium , consisting of an agent-based context-aware infrastructure, which provides information with an unambiguous, shared meaning across sensing devices and end-users. The main focus is on collecting, modelling, reasoning, and distribution of context in relation to sensor data. The ontologies and semantic web rules are used in order to enable semantic interpretation of context awareness. A simple but realistic example system shows how activities are deduced using distributed rule-based reasoning based on the situations that occur in the indoor kitchen garden. The novelty of the proposed approach lies in the formal ontology usage within the design stage and the combination of different semantic and reasoning technologies providing a clear benefit for the application scenario under consideration.