Capturing Semantics of Energy Meter

Abstract

Numerous sensors are involved in sensing almost everything around us in a cyber-physical system. They generate heterogeneous data which are diverse in format and protocol. Prevailing standards formally define sensor data encodings and provide syntactic interoperability but failed to provide semantic capability required for searching, reasoning, querying on sensors and their observations. The paper extends IEEE SUMO and Onto Sensor to create an ontological structure that captures various sensor concepts and their relationships. It logically classifies sensor information into four major sensor knowledge representation (1) hierarchy (2) data (3) function and (4) data exchange. The proposed sensor ontology has been extended for energy meter as an energy sensor. The represented semantic can be captured through Protégé 4.3.0 and subsequently by OWLXML. Reasoning on the sensor data can be carried out using SWRL.