Paper Info
Title
Ontology for integrating heterogeneous tools for supervision, fault detection and diagnosis
Abstract
The Distributed Supervision Systems that have been used extensively for the last fifteen years in the process industry are now evolving towards higher level solutions based on better connections between applications and processes that assure that data flows from the process to manage boards. Knowledge sharing seems to be a key issue in integrating these heterogeneous systems. In this paper we present an ontology as a first step to achieving semantic interoperability. The ontology has been conceived within the context of a complex integration problem, in which heterogeneous toolboxes cooperate to deal with several supervision, fault detection and diagnostic tasks for chemical processes. Regarding the current trends in ontology research, our proposal is consistent with top-level ontologies, as these kinds of ontologies seem to overcome the ontology integration problem. We describe a preliminary version of the ontology. The conceptualisation of control variables, system behaviour, supervision tasks, models and system properties is given. All attributes and relationships between each concept has been deployed. The ontology has been developed using Protete2000.
Year
Venue
Keywords
2005
ICINCO
distributed control systems,industrial expert systems.,intelligent fault detection and identification,expert system,data flow,distributed control system,semantic interoperability
Field
DocType
Citations 
Ontology (information science),Ontology,Chemical process,Ontology-based data integration,Software engineering,Knowledge sharing,Computer science,Fault detection and isolation,Semantic interoperability,Control engineering,Control variable,Distributed computing
Conference
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Beatriz López111413.76
Joaquím Meléndez211115.29
Silvia Suárez300.34