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|Author(s):||Craig I. Schlenoff; Tsai Hong Hong; Roger D. Eastman;|
|Title:||A Literature Review of Sensor Ontologies for Manufacturing Applications|
|Published:||October 23, 2013|
|Abstract:||The purpose of this paper is to review existing sensor and sensor network ontologies to understand whether they can be reused as a basis for a manufacturing perception sensor ontology, or if the existing ontologies hold lessons for the development of a new ontology. We develop an initial set of requirements that should apply to a manufacturing perception sensor ontology. These initial requirements are used in reviewing selected existing sensor ontologies. This paper describes the steps for 1) extending and refining the requirements; 2) proposing hierarchical structures for verifying the purposes of the ontology; and 3) choosing appropriate tools and languages to support such an ontology. Some languages could include OWL (Web Ontology Language) and SensorML (Sensor Markup Language) . This work will be proposed as a standard within the IEEE Robotics and Automation Society (RAS) Ontologies for Robotics Automation (ORA) Working Group .|
|Proceedings:||2013 IEEE International Symposium on Robotics and Sensors Environment (ROSE)|
|Dates:||October 21-23, 2013|
|Keywords:||sensor ontology, manufacturing perception, requirements, literature review|
|Research Areas:||Performance Metrics, Robotics, Ontologies, Process Improvement, Manufacturing|
|PDF version:||Click here to retrieve PDF version of paper (229KB)|