• DocumentCode
    168514
  • Title

    Capturing Semantics of Energy Meter

  • Author

    Dasgupta, R. ; Dey, Shuvashis ; Basu, Anirban

  • Author_Institution
    Innovation Lab., Tata Consultancy Services Ltd., Kolkata, India
  • fYear
    2014
  • fDate
    26-28 May 2014
  • Firstpage
    275
  • Lastpage
    280
  • 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.
  • Keywords
    electric sensing devices; knowledge representation; power meters; energy meter; energy sensor; ontological structure; semantics; sensor information; sensor knowledge representation; sensor ontology; Data models; Interoperability; Ontologies; Semantics; Standards; Unified modeling language; CPS; Concept; IEEE SUMO; Interoperability; IoT; Knowledge Representation; OntoSensor; Ontology; Relationship; Semantic; SensorML; Syntactic; Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing in Sensor Systems (DCOSS), 2014 IEEE International Conference on
  • Conference_Location
    Marina Del Rey, CA
  • Type

    conf

  • DOI
    10.1109/DCOSS.2014.55
  • Filename
    6846176