TOWARDS TREATING GIS AS VIRTUAL RDF GRAPHS

none3INFnoneE. Della Valle; H. M. Qasim; I. CelinoDELLA VALLE, Emanuele; H. M., Qasim; I., Celin

Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids

Abstract. Semantic Web allows us to model and query time-invariant or slowly evolving knowledge using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power Grids that require contin-uous information monitoring and integration present novel opportunities and challenges for Semantic Web technologies. Semantic Web is promis-ing to model diverse Smart Grid domain knowledge for enhanced situa-tion awareness and response by multi-disciplinary participants. However, current technology does pose a performance overhead for dynamic anal-ysis of sensor measurements. In this paper, we combine semantic web and complex event processing for stream based semantic querying. We illustrate its adoption in the USC Campus Micro-Grid for detecting and enacting dynamic response strategies to peak power situations by di-verse user roles. We also describe the semantic ontology and event query model that supports this. Further, we introduce and evaluate caching techniques to improve the response time for semantic event queries to meet our application needs and enable sustainable energy management