WSC 2005

WSC 2005 Final Abstracts

Ontologies in Simulation Track

Monday 10:30:00 AM 12:00:00 PM
Ontologies in Simulation

Chair: Albert Jones (National Institute of Standards and Technology)

An Ontology-Driven Framework for Process Driven Applications
Perakath Benjamin, Kumar V. Akella, Kaiser Malek, and Ronald Fernandes (Knowledge Based Systems, Inc.)

This paper describes an ontology-driven framework for process-oriented applications. The research described in this paper is motivated by the lack of information sharing mechanisms at the semantic level among process-oriented applications. Our approach addresses this problem through the determination of inter-application information flow requirements via an analysis of (i) application method ontologies and (ii) application software tool ontologies. The tool describes the overall ontology driven approach and the inter-method ontology mappings that drive the inter-tool information flow requirements. An example information integration scenario is outlined in order to illustrate the practical application of our approach. Lastly, we summarize the research and outline the benefits.

Ontologies for Supply Chain Simulation Modeling
Mohamed Fayez (Productivity Apex, Inc.) and Luis Rabelo and Mansooreh Mollaghasemi (University of Central Florida)

Simulation might be an effective decision support tool in supply chain management. The review of supply chain simulation modeling methodologies revealed some issues one of which is the practicability of simulation in the supply chain environment. The supply chain environment is dynamic, information intensive, geographically dispersed, and heterogeneous. In order to develop usable supply chain simulation models, the models should be feasibly applicable in the supply chain environment. Distributed simulation models have been used by several researchers, however, their complexity and usability hindered their continuation. In this paper, a new approach is proposed. The approach is based on Ontologies to integrate several supply chain views and models, which captures the required distributed knowledge to build simulation models. The Ontology core is based on the SCOR model as the widely shared supply chain concepts. The ontology can define any supply chain and help the user to build the required simulation models

Simulation and the Semantic Web
John A. Miller and Gregory Baramidze (University of Georgia)

One of the missions of the Semantic Web is to put more knowledge on the Web in an organized fashion and link it to other information and data sources. Three successively more capable languages are (or will soon be) provided for this: RDF, OWL, and SWRL. This paper makes a case for using all three for the domain of modeling and simulation. Based on experience developing the Discrete-event Modeling Ontology (DeMO) some observations on the issues and challenges involved in creating such ontologies are presented. An approach for decomposing models into behavioral and observable parts, a la Hidden Markov Models, which can make ontologies smaller and easier to understand, is also discussed.