Patent
1995-02-07
1995-12-05
Moore, David K.
395 50, 395 54, 395 60, G06F 1518
Patent
active
054737320
ABSTRACT:
A relational artificial intelligence system is invented and developed. It comprises a relational automatic knowledge acquisition system and a relational reasoning system. The relational automatic knowledge acquisition system is a relational learning system which discovers knowledges from spreadsheet-formed databases and generates relational knowledge bases using inductive learning technique. The relational reasoning system is a relational knowledge-based system which reasons about the generated relational knowledge bases automatically and predicts what will happen under future data readings. The feature of this invention is that every component in this system is relational. Not only the database to be read and the knowledge base to be generated, but also the inductive engine and the inference engine are relational. In the whole reading, operating, and generating processes, data are organized in the spreadsheet-form, and hence the system works with high efficiency and speed.
REFERENCES:
patent: 4935876 (1990-06-01), Hanatsuka
patent: 4972328 (1990-11-01), Wu et al.
patent: 5034898 (1991-06-01), Lu et al.
patent: 5043915 (1991-08-01), Suwa et al.
patent: 5107499 (1992-04-01), Lirov et al.
patent: 5222197 (1993-06-01), Tang et al.
patent: 5225988 (1993-07-01), Barsa
patent: 5259067 (1993-11-01), Kautz et al.
patent: 5263126 (1993-11-01), Chang
patent: 5295230 (1994-03-01), Kung
patent: 5325465 (1994-06-01), Hung et al.
Kiernan et al, "Compiling a rule database program into a C/SOL application"; Proceedings. Seventh International Conference on Data Engineering, pp. 388-395, 8-12 Apr. 1991.
Paul et al, "Rule management and inferencing in relational databases"; IEEE Proceedings of Southeastcon '19, pp. 695-697 vol. 2, 7-10 Apr. 1991.
Joseph et al, "A knowledge based subsystem for a natural language interface to a database that predicts and explains query failures"; Proceedings. Seventh International Conference on Data Engineering, pp. 80-87, 8-12 Apr. 1991.
Hsieh, "A logic to unify semantic network knowledge systems with object-oriented database models"; Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences, pp. 347-358 vol. 2, 7-10 Jan. 1992.
Han et al, "Data-driven discovery of quantitative rules in relational databases"; IEEE Transactions on Knowledge and Data Engineering, pp. 29-40 vol. 5 iss. 1, Feb. 1993.
Lim, "Semantic networks and associative databases"; IEEE Expert, pp. 31-40 vol. 7 iss. 4, Aug. 1992.
Cai, Yandong et al., 1991, in Piatetsky-Shapiro, et al. edit, Knowledge Discovery in Databases, AAAl Press, 213-228.
Chang, H. M., 1988, Inductive Learning with Exceptions, PhD Dissertation, University of Alabama at Huntsville.
Codd, E. F., 1990, The Relational Model for Database Mgmt. Addison-Wesley Publ. Co.
Kaufman, K. A. et al., 1991, Mining for Knowledge in Databases, in Piatetsky-Shapiro et al., edit Knowledge discovery in Databases, AAAl Press, 449-462.
Michalski, R. S., 1983, The Theory and Methodology of Inductive Learning, Michalski et al., edit An Artificial Intelligence Approach., Tioga, 83-134.
Quinlan, J. R., 1990, Learning Logical Definitions from Relations, Machine Learning, 5, 239-266.
Rubin, S. H.,1993, Machine Learning and Expert systems, Al Expert, 1993, No. 6, 32-37.
Carbinell, J. G., 1989, Introduction: Paradigms fo Machine Learning, Artificial Intelligence, 40, 1-9.
Frawley, W. J. et al., 1992, Knowledge Discovery in Databases, Al Magazine (13)3, 57-70.
Frawley, W. J., et al., 1991, Knowledge Discovery in Databases, in Piatetsky-Shapiro et al., edit, Knowledge deic. in Databases, AAAl Press.
Shelfridge, O. G., The Garden of Learning, Al Magazine,(14) 2, 36-48.
Hafiz Tarig
Moore David K.
LandOfFree
Relational artificial intelligence system does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Relational artificial intelligence system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Relational artificial intelligence system will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1380750