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