Interoperability Using Semantic Web Technologies

Tracking #: 2567-3781

Kausar Parveen

Responsible editor: 
Pascal Hitzler

Submission type: 
Ontology Description
Urbanization has increased tremendously over the last few years, and this has exacerbated problems in all areas of life, especially in the energy sector. The Internet of things is providing solutions to overcome the energy domain and other field’s issues. Billions of heterogeneous devices are linked to each other in its environment and this has led to the semantic interoperability problem between the connected devices. In the energy field, such as electricity and gas, several devices are interlinked. These devices cannot be understood by each other due to their heterogeneity. To overcome this problem, a model and ontology are proposed by applying Semantic Web Technologies and cloud storage to address the tracking of customers to observe Unaccounted for gas (UFG) in the gas domain of energy using. Semantization is achieved by transforming heterogeneous devices Sensor model language data into resource description framework without human interventions. Semantic interoperability is used to effectively and meaningfully share information from one location to another, therefore the proposed ontology and model focus more efficiently on customer tracking, forecasting, and monitoring to detect UFG in gas networks. This also helps to save gas companies from financial gas losses.
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