A literature review of sensor ontologies for manufacturing applications

Craig Schlenoff, Tsai Hong, Connie Liu, Roger Eastman, Sebti Foufou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. Additionally, we present our developed sensor ontology thus far that incorporates a refined list of requirements. This paper describes 1) extending and refining the requirements; 2) proposing hierarchical structures for verifying the purposes of the ontology; 3) choosing appropriate tools and languages (e.g., OWL (Web Ontology Language) [1] and SensorML (Sensor Markup Language) [2]) to support such an ontology; and 4) extending the Semantic Sensor Network (SSN) ontology with a set of refined requirements (i.e., our developed ontology). This work will be proposed as a standard within the IEEE (Institute of Electrical and Electronics Engineers) Robotics and Automation Society (RAS) Ontologies for Robotics Automation (ORA) Working Group [3].

Original languageEnglish (US)
Title of host publicationROSE 2013 - 2013 IEEE International Symposium on Robotic and Sensors Environments, Proceedings
Pages96-101
Number of pages6
DOIs
StatePublished - 2013
Event2013 11th IEEE International Symposium on Robotic and Sensors Environments, ROSE 2013 - Washington, DC, United States
Duration: Oct 21 2013Oct 23 2013

Publication series

NameROSE 2013 - 2013 IEEE International Symposium on Robotic and Sensors Environments, Proceedings

Other

Other2013 11th IEEE International Symposium on Robotic and Sensors Environments, ROSE 2013
CountryUnited States
CityWashington, DC
Period10/21/1310/23/13

Keywords

  • OWL
  • literature review
  • manufacturing
  • ontologies for robotic and automation
  • sensor ontology

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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