Title :
A deductive approach for problem representation and modeling support: conceptual schema and object-oriented models
Author_Institution :
Graduate Sch. of Bus., Wisconsin Univ., Madison, WI, USA
Abstract :
The author presents a knowledge-base design for problem representation and modeling support which provides an integrated (unified) environment for the organization, manipulation, and management of data, problems, and models; that represents knowledge at the conceptual-schema level and at the data structure level; and supports multiple levels of abstraction for problem/model representation. He proposes an extended entity-relationship model for the conceptual-schema representation, and an object-oriented model for the data structure representation. The mapping from the E2R model to the object-oriented representation is quite natural. Problem representation, model building, and decision support under this approach are based on modeling by deduction which is implemented using three processes: instantiation, inheritance, and specialization
Keywords :
data structures; knowledge based systems; knowledge representation; object-oriented databases; relational databases; systems analysis; E2R model; conceptual-schema; data management; data manipulation; data organization; data structure; decision support; extended entity-relationship model; inheritance; instantiation; knowledge representation; knowledge-base design; modeling by deduction; modeling support; multiple levels of abstraction; object-oriented model; problem representation; specialization; Buildings; Data structures; Decision support systems; Environmental management; Knowledge management; Linear programming; Marine vehicles; Object oriented modeling; Observatories;
Conference_Titel :
System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.1991.184157
