Ontology Powered Knowledge Modeling for a Smart Home

The development and expansion of ontology is highly important in building smart applications such as a smart home. This research seeks to identify and develop an extension framework for personalized smart home ontology that can be used in an intelligent home to reduce and manage the energy consumption. The ontology framework was developed based on a methodology known as Natalya and Deborah Methodology. In the design, the researcher added the home appliances as sub classes, and grouped them based on their functional properties. This approach was not used before in the previous work. With this approach, any kind of home appliances can be semantically defined. In order to validate the proposed framework, the researcher developed a prototype to check the consistency and the correction of a Smart Home Ontology and Semantic Web Rule (SWRL). The ontology was validated through the pellet reasoning engine and Simple Protocol and RDF Query language (SPARQL) query to test and correct any logical mistake in the SWRL rules or in the ontology created.