Model Integration Using Metagraphs.

Author List: Basu, Amit; Blanning, Robert W.;
Information Systems Research, 1994, Volume 5, Issue 3, Page 195-218.
The availability of a large and diverse collection of stored modules such as data relations and decision models is a desirable feature in a decision support system (DSS). however. it is usually infeasible to design a DSS in which every problem instance can he solved using a single module. Instead, it may he necessary to combine several stored modules into an integrated model that is sufficient to solve the given problem. We show that modules such as data files and decision models in a DSS can be usefully represented by a metagraph, a graph-theoretic construct that captures relationships between pairs of sets of elements. In addition to the visualization benefits that graphical representation oilers, we show that many useful questions faced by the designers and users of DSS can he addressed by exploiting analytical properties of metagraphs. In particular. we show that the process of model integration can he significantly facilitated by exploiting certain connectivity propel-ties in metagraphs.
Keywords: graph theory;model management;modeling;decision support systems
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#180 0.215 multiple elements process environments complex integrated interdependencies design different developing integration order approach dialogue framework capabilities settings building focus distinct
#216 0.162 conceptual model modeling object-oriented domain models entities representation understanding diagrams schema semantic attributes represented representing object relationships concepts classes entity-relationship
#31 0.160 problem problems solution solving problem-solving solutions reasoning heuristic theorizing rules solve general generating complex example formulation heuristics effective given finding
#191 0.156 model models process analysis paper management support used environment decision provides based develop use using help literature mathematical presented formulation
#113 0.138 support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user paper findings systems.decision components computer-based
#6 0.093 data used develop multiple approaches collection based research classes aspect single literature profiles means crowd collected trend accuracy databases accurate