@inproceedings{6722f86f7fcb49969d042eaf7d7bd932,
title = "A literature review of sensor ontologies for manufacturing applications",
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].",
keywords = "OWL, literature review, manufacturing, ontologies for robotic and automation, sensor ontology",
author = "Craig Schlenoff and Tsai Hong and Connie Liu and Roger Eastman and Sebti Foufou",
year = "2013",
doi = "10.1109/ROSE.2013.6698425",
language = "English (US)",
isbn = "9781467329385",
series = "ROSE 2013 - 2013 IEEE International Symposium on Robotic and Sensors Environments, Proceedings",
pages = "96--101",
booktitle = "ROSE 2013 - 2013 IEEE International Symposium on Robotic and Sensors Environments, Proceedings",
note = "2013 11th IEEE International Symposium on Robotic and Sensors Environments, ROSE 2013 ; Conference date: 21-10-2013 Through 23-10-2013",
}