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Svetoslav Nikolow, Bulgaria (in cooperation with WELISA)
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Andreas Tolk, Norfolk, USA
| What | Invited talk |
|---|---|
| When |
2008-05-19 from 15:30 to 17:00 |
| Where | R 11, University Library, Albert-Einstein-Str.6 |
| Contact Name | Andreas Tolk |
| Contact Email | atolk@odu.edu |
| Contact Phone | (757) 683-4500 |
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Applying System Engineering Principles to enable Reuse and Composition of Simulation Services
Andreas Tolk, Ph.D.
Associate Professor
Engineering Management & Systems Engineering
242B Kaufman Hall
Old Dominion University
Norfolk, VA 23529
(757) 683-4500 (voice)
(757) 683-5640 (fax)
atolk@odu.edu
Abstract:
While Systems Engineering principles are applied in many application domains in support of reuse and composition of information technology based solutions, Modeling and Simulation (M&S) did not participate in this trend so far. There are no semantically composable web services for M&S that are generally applied, although many other commercial domains already use comparable solutions.
In the presenter’s opinion, the reason for this exception is rooted in the fact that interoperation for advanced distributed simulation systems is based on much more than data exchange and remote procedure calls. While the distributed solutions as supported by web services and the Internet in its current form, and even as the envision Semantic Web, focuses on implementation issues, meaningful interoperation of M&S applications requires the alignment and harmonization of underlying conceptual ideas as well: Interoperability of Simulation Systems requires Composability of Conceptual Models!
This presentation will utilize the Levels of Conceptual Interoperability Model (LCIM), which was developed at Old Dominion University to explain the differences in integration, interoperability, and composability. It is also used to categorize existing solutions developed for interoperation and reuse, such as IEEE 1278 and IEEE 1516 in the M&S domain, or RDF/RDFS and OWL/OWL-S in more general domains. It will show that system engineering principles can be applied for data engineering, process engineering, and constraint engineering and to orchestrate and align the results to enable reuse and composition on all levels of interoperation
First Prize at the Second International Biomodellling Competition Dagstuhl 2011