Title :
Experiences with knowledge-base and large database integration
Author :
Michelsen, Christie ; Smith, Donna ; McGrath, Glenda
Author_Institution :
Los Alamos Nat. Lab., NM, USA
Abstract :
The authors discuss the integration of several knowledge bases and a large database in the context of a manufacturing simulation. This simulation is referred to as the work load model. The knowledge bases are network data structures providing inheritance and rule-based definition/execution. The simulation represents the production activities at numerous individual facilities and is used to determine if a production schedule can be satisfied. The simulation is supplied with data from a large relational database that includes production facility characteristics as well as component information. The authors also illustrate the problems inherent in the exchange of data among a group of loosely coupled knowledge bases and traditional databases. It is demonstrated that the integration of large databases, knowledge bases, and object-oriented simulations is feasible and provides very attractive benefits such as modularity, flexibility, and execution efficiency
Keywords :
data structures; knowledge based systems; knowledge representation; manufacturing data processing; object-oriented programming; relational databases; scheduling; component information; inheritance; knowledge-base; large database; manufacturing simulation; network data structures; object-oriented simulations; production activities; production facility characteristics; production schedule; relational database; rule-based definition; work load model; Analytical models; Context modeling; Data structures; Job shop scheduling; Manufacturing processes; Object oriented databases; Production; Pulp manufacturing; Virtual manufacturing; Weapons;
Conference_Titel :
System Sciences, 1990., Proceedings of the Twenty-Third Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
DOI :
10.1109/HICSS.1990.205172
