An introduction to model integration and integrated modeling environments
Dolk, Daniel R.
MetadataShow full item record
Integrated modeling systems provide support for the definltion, manipulation, and control of mathematical models throughout the entire modeling life cycle. Model integration is a particularly crucial operation which requires thinking about "modeling in the large", and which extends the scope of model management research to include manipulation as well as definition. Several aspects of model integration are identified and briefly described with respect to the problems they raise for constructing integrated modeling environments. Relevant work in these areas is cited. A brief introduction to each the papers in this special issue is provided within the context established.
Showing items related by title, author, creator and subject.
Bhargava, Hemant K.; Krishnan, Ramayya; Mukherjee, Sumitra (Monterey, California. Naval Postgraduate School, 1991-09-26); No. 91-05; AD-A242 733; NPS-AS-91-05This paper examines ways in which the addition of data modeling features can enhance the capabilities of mathematical modeling languages, and demonstrates how such integration might be achieved as an application of the ...
Leong, Hoe Wai (Monterey, California. Naval Postgraduate School, 2008-12);In a net-centric environment, data, tools and people operate in a distributed network. A key research question is whether a software framework can become so usable and intelligent that integration of web services can be ...
Dolk, Daniel R.; Kottemann, Jeffrey E. (Elsevier Science Publishers B.V., 1993);Model integration extends the scope of model management to include the dimension of manipulation as well. This invariably leads to comparisons with database theory. Model integration is viewed from four perspectives: ...