Semantics for digital engineering archives supporting engineering design education

William Regli, Joseph B. Kopena, Michael Grauer, Timothy Simpson, Robert Stone, Kemper Lewis, Matt Bohm, David Wilkie, Martin Piecyk, Jordan Osecki

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

This article introduces the challenge of digital preservation in the area of engineering design and manufacturing and presents a methodology to apply knowledge representation and semantic techniques to develop digital engineering archives. This work is part of an ongoing, multiuniversity effort to create cyber infrastructure-based engineering repositories for undergraduates (CIBER-U) to support engineering design education. The technical approach is to use knowledge representation techniques to create formal models of engineering data elements, work flows, and processes. With these techniques formal engineering knowledge and processes can be captured and preserved with some guarantee of long-term interpretability. The article presents examples of how the techniques can be used to encode specific engineering information packages and work flows. These techniques are being integrated into a semantic wiki that supports the CIBER-U engineering education activities across nine universities and involving more than 3500 students since 2006.

Original languageEnglish (US)
Pages (from-to)37-50
Number of pages14
JournalAI Magazine
Volume31
Issue number1
DOIs
StatePublished - Jan 1 2010

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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    Regli, W., Kopena, J. B., Grauer, M., Simpson, T., Stone, R., Lewis, K., Bohm, M., Wilkie, D., Piecyk, M., & Osecki, J. (2010). Semantics for digital engineering archives supporting engineering design education. AI Magazine, 31(1), 37-50. https://doi.org/10.1609/aimag.v31i1.2282