Speaker
Vardan Gyurjyan
(JEFFERSON LAB)
Description
The ever growing heterogeneity of physics experiment control systems presents a real challenge to uniformly describe control system components and their operational details. Control Oriented Ontology Language (COOL) is an experiment control meta-data modeling language that provides a generic means for concise and uniform representation of physics experiment control processes and components, their relationships, rules and axioms. It provides a semantic reference frame that is useful for automating the communication of information for control process configuration, deployment and operation. Additionally, COOL provides precise specification of experiment control system software and hardware components. This paper discusses control domain specific ontology that is built on top of the domain-neutral Resource Definition Framework (RDF) model. Specifically, we will discuss the relevant set of ontology concepts along with the relationships among them to describe experiment control components and general purpose event-based state machines. COOL has been successfully used to develop complete and dynamic knowledge base for AFECS experiment control systems.
Primary author
Vardan Gyurjyan
(JEFFERSON LAB)
Co-authors
Carl Timmer
(JEFFERSON LAB)
David Abbott
(JEFFERSON LAB)
Ed Jastrzembski
(JEFFERSON LAB)
Elliott Wolin
(JEFFERSON LAB)
Graham Heyes
(JEFFERSON LAB)
