Development of a Knowledge-Based Model Management System

Ting-Peng Liang
Additional contact information
Ting-Peng Liang: University of Illinois, Urbana, Illinois

Operations Research, 1988, vol. 36, issue 6, 849-863

Abstract: This paper presents a software architecture and a graph-based framework for developing knowledge-based model management systems. The architecture consists of three major components: a model utilization subsystem, a modeling subsystem, and an inference engine. The core of the system is the inference engine that applies the graph-based framework to drive the processes of model integration and selection. The graph-based framework includes a model representation scheme and reasoning mechanisms. The representation scheme depicts a set of data as a node, a set of functions as an edge, and a basic model as a combination of two nodes and one connecting edge. Based on this scheme, mechanisms for model integration and selection are discussed. These mechanisms enable a model management system to create composite models automatically. A prototype implemented in PROLOG is also presented to demonstrate the graph-based framework.

Keywords: computers; artificial intelligence: knowledge-based systems; information systems: model management for decision support; networks/graphs: graph-based reasoning (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.36.6.849 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:36:y:1988:i:6:p:849-863

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().