Title :
Meta-model driven construction of Timed Influence Nets
Author :
Mansoor, Faisal ; Zaidi, Abbas K. ; Levis, Alexander H.
Author_Institution :
Syst. Archit. Lab., George Mason Univ., Fairfax, VA, USA
Abstract :
A methodology to develop domain specific Timed Influence Nets (TINs) via the use of ontological representation of domain data is presented. One of the main challenges in using TINs has been the difficulty in formulating them. Many Subject Matter Experts have difficulty in expressing their knowledge in the TIN representation. The meta-model driven ontology based approach described in this paper provides potential assistance to these modelers in quickly creating new models for new situations and spend more time doing analysis. The paper describes the theoretic concepts used and a process that leads to an automated TIN generation. A simple example is provided to illustrate the technique.
Keywords :
Aggregates; Bayesian methods; Delay; Intelligent networks; Laboratories; Metamodeling; Ontologies; Probability; Random variables; Tin; Meta-modeling; Ontology; Situational Modeling; Timed Influence Net;
Conference_Titel :
Intelligence and Security Informatics (ISI), 2010 IEEE International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
978-1-4244-6444-9
DOI :
10.1109/ISI.2010.5484735