Paper
15 July 2002 Using advanced technology repositories to accelerate simulation scenario development
Eric Trias, Karl S. Mathias
Author Affiliations +
Abstract
One of the more difficult problems facing an analyst wishing to use a simulation is the task of collecting data and transforming it into a correctly formatted scenario. Raw data is often available from a variety of sources: multi-spectral force deployment (MSFD) documents, the electronic warfare integrated reprogramming database (EWIRDB), free text documents such as intelligence reports, pre-existing simulation scenarios, and scenarios taken from other simulations. The task of transforming this data into a usable scenario involves searching for the relevant information, followed by a manual transformation of the original format to the correct simulation format. This problem can be greatly alleviated by using a combination of three technologies: automatic parser generation, repository architectures using extensible markup language (XML), and information retrieval (IR) techniques. Automatic parser generation tools like JavaCC can automatically generate source code capable of reading data sources such as old Joint Integrated Mission Model (JIMM) or Suppressor input files. For simulations that regularly add scenario keywords to support changing needs, this can greatly reduce redevelopment time and cost for supporting tools. The objects parsed by this source can then be encapsulated in XML and stored into a repository. Using information retrieval techniques, objects can then be queried from the repository and transformed into the appropriate format for use in a scenario.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric Trias and Karl S. Mathias "Using advanced technology repositories to accelerate simulation scenario development", Proc. SPIE 4716, Enabling Technologies for Simulation Science VI, (15 July 2002); https://doi.org/10.1117/12.474928
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KEYWORDS
Data modeling

Databases

Systems modeling

Java

Statistical modeling

Data storage

Information operations

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