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SUMMARY:Opportunities for Knowledge Management in Model-Based Systems Engi
 neering - Chris Paredis - Georgia Institute of Technology
DTSTART:20090721T130000Z
DTEND:20090721T140000Z
UID:TALK19105@talks.cam.ac.uk
CONTACT:Labi Ariyo
DESCRIPTION:When engineering complex systems\, a broad range of informatio
 n and knowledge needs to be applied.  Rather than capturing all this infor
 mation and knowledge in unstructured text-based documents as used to be co
 mmon practice in traditional systems engineering approaches\, Model-Based 
 Systems Engineering advocates capturing knowledge in semantically rich\, s
 tructured models.  Modeling in this context should be interpreted broadly\
 , encompassing all information and knowledge used for systems engineering:
  requirements\, functions\, logical and physical components\, logical and 
 physical behavior\, etc.  With the expanded semantics of these models\, th
 e opportunities for automated knowledge capture\, application and reuse ha
 ve increased dramatically.  In this presentation\, I will provide an overv
 iew of capturing knowledge in the Systems Modeling Language (OMG SysML) au
 gmented with domain specific models.  Examples focus on the capture and us
 e of synthesis and analysis knowledge for hydraulic systems design.\n\n\nA
 bout the speaker:\nDr. Paredis is an Associate Professor in the G.W. Woodr
 uff School of Mechanical Engineering at Georgia Tech. In his research\, he
  combines aspects of information and knowledge management\, simulation\, a
 nd systems theory in support model-based systems engineering\, focusing in
  particular on decision making under uncertainty in conceptual design and 
 architecture definition. 
LOCATION:Marshall's meeting room (next to EDC loft)\, Inglis Building\, En
 gineering Department
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