Ontologies and fine-grained control over sharing of engineering analysis modeling knowledge in a web-based environment
Project status: Complete
Thrust area: Design Optimization
Research team: Nicholas Polys
By formerly identifying, strongly typing, and storing critical engineering analysis modeling knowledge in an efficient, computer-process able form that can easily be inspected, participating companies will be able to better manage their engineering analysis models. Model developers will be able to develop higher quality models. Companies will be able to retain important modeling knowledge even when key personnel leave the company. This integrated web-based system enables companies to share across the web engineering analysis modeling knowledge.