Authors:
Jorge Santos
1
;
Luís Braga
1
and
Anthony G. Cohn
2
Affiliations:
1
Instituto Superior de Engenharia, Portugal
;
2
Leeds University, United Kingdom
Keyword(s):
Power Systems, Ontologies, Knowledge Engineering, Temporal/Spatial Reasoning and Representation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Decision Support Systems
;
Enterprise Information Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Intelligent Fault Detection and Identification
;
Knowledge-Based Systems Applications
Abstract:
In this paper we investigate how timeless ontologies such as DFault, an ontology for fault diagnosis in power transmission networks can be re-engineered to include temporal entities. We propose a methodology, FONTE (Factorising ONTology Engineering complexity), that allows this complex process to be factored by dividing the problem into parts: modelling the domain concepts ontology (atemporal and aspatial), modelling or acquiring the temporal and /or spatial ontology, and finally producing the target ontology by assembling these modular ontologies via a semi-automated process.