A literature review of sensor ontologies for manufacturing applications

التفاصيل البيبلوغرافية
العنوان: A literature review of sensor ontologies for manufacturing applications
المؤلفون: Tsai Hong, Sebti Foufou, Connie Liu, Roger D. Eastman, Craig Schlenoff
المصدر: ROSE
بيانات النشر: IEEE, 2013.
سنة النشر: 2013
مصطلحات موضوعية: Ontology Inference Layer, Database, Computer science, business.industry, computer.internet_protocol, Ontology-based data integration, Process ontology, Suggested Upper Merged Ontology, Ontology (information science), computer.software_genre, OWL-S, Upper ontology, Software engineering, business, computer, Ontology alignment
الوصف: 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].
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e95130482bf91a6f9f3cdfd7b9acbf1
https://doi.org/10.1109/rose.2013.6698425
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....7e95130482bf91a6f9f3cdfd7b9acbf1
قاعدة البيانات: OpenAIRE