Source: http://www.google.de/patents/US5504840
Timestamp: 2013-05-25 18:20:51
Document Index: 326603517

Matched Legal Cases: ['art 21', 'art 21', 'art 22', 'art 21', 'art 32', 'art 22', 'art.\n2']

Patent US5504840 - Knowledge acquisition support system and method in an expert system - Google PatenteSuche Bilder Maps Play YouTube News Gmail Drive Mehr » Erweiterte Patentsuche | Webprotokoll | Anmelden Erweiterte Patentsuche PatenteDisclosed in this invention is a knowledge acquisition tool for facilitating a construction of a knowledge base in an expert system, including: a case preprocessing part 21 for checking whether or not data constituting individual cases on which a knowledge base is based satisfy a predetermined evaluation...http://www.google.de/patents/US5504840?utm_source=gb-gplus-sharePatent US5504840 - Knowledge acquisition support system and method in an expert system Ver�ffentlichungsnummerUS5504840 APublikationstypErteilung Anmeldenummer07/901,576 Ver�ffentlichungsdatum2. Apr. 1996Eingetragen19. Juni 1992 Priorit�tsdatum20. Juni 1991Auch ver�ffentlicht unterEP0519478A2EP0519478A3EP0519478B1 Ver�ffentlichungsnummerUS 5504840 AUS 5504840AUS5504840 AUS5504840A ErfinderMasahiro HijiToshiro YamanakaUrspr�nglich Bevollm�chtigterHitachi Touhoku Software, Ltd.Hitachi, Ltd. US-Klassifikation706/61706/50706/54706/59Internationale KlassifikationG06N5/00G06F9/44G06N5/04G06N5/02 UnternehmensklassifikationG06N5/025 Europ�ische KlassifikationG06N5/02K2ReferenzenPatentzitate (14)Nichtpatentzitate (24) Referenziert von (14)Externe LinksUSPTO USPTO-Zuordnung EspacenetKnowledge acquisition support system and method in an expert systemUS 5504840 A Zusammenfassung Disclosed in this invention is a knowledge acquisition tool for facilitating a construction of a knowledge base in an expert system, including: a case preprocessing part 21 for checking whether or not data constituting individual cases on which a knowledge base is based satisfy a predetermined evaluation criterion and deleting or changing non-satisfying cases; a rule generation part 22 for generating rules by extracting regularities from the cases processed by preprocessing part 21; and a rule evaluation part 32 for evaluating the rules generated by the rule generation part 22.
What is claimed is: 1. A knowledge acquisition support system in an expert system, comprising: a case data storage means for storing data of cases including a set of plural pieces of data items and conclusions; a relational expression storage means connected to said case data storage means for storing relational expressions prescribing relations of said plural pieces of data items; a case preprocessing part for analyzing said data of cases stored in said case data storage means for performing one of deleting data of ones of said cases which do not satisfy a predetermined evaluation criterion and changing said data of said ones of said cases to satisfy the criterion including storing said changed data in said case data storage means; a rule generation part for generating rules by determining from said data of cases whether predetermined relations exist between at least one predetermined one of the data items and a predetermined one of the conclusions and classifying said predetermined relations of said cases preprocessed by said case preprocessing part with reference to said relational expressions stored in said relational expression storage means; a rule storage means for storing said rules generated by said rule generation part; a test data storage means for storing data of tests used for evaluating said rules generated by said rule generation part; a rule evaluation part connected to said test data storage means and said rule storage means for evaluating said rules generated by said rule generation part by use of said test data stored in said test data storage means; and an information indication part for indicating evaluated results of said rule evaluation part.
2. A knowledge acquisition method in an expert system, comprising the steps of: storing cases including a set of plural pieces of data items; storing relational expressions prescribing relations of said plural pieces of data items; analyzing said data of cases stored for performing one of deleting data of ones of said cases which do not satisfy a predetermined evaluation criterion and changing said data of said ones of said cases to satisfy the criterion including storing said changed data; generating rules by determining from said data of cases whether predetermined relations exist between at least one predetermined one of the items and a predetermined one of the conclusions and classifying said predetermined relations of said cases in accordance with previously inputted criteria relating said data items of said cases; storing a procedure for determining an evaluation order of said generated rules, a procedure for judging evaluated results and a procedure for determining a process to be executed next and information to be acquired; evaluating said generated rules in accordance with said evaluation order determined by said determining procedure; judging the evaluated results in said judging procedure; and indicating said process to be executed next and said information to be acquired in accordance with the judged results and said procedure for determining said process to be executed next and said information to be acquired.
3. A knowledge acquisition support system in an expert system according to claim 1, wherein said relational expression storage means stores an expression indicating an order of a magnitude of significance among the data items as one of said relational expressions.
Patentzitate Zitiertes PatentEingetragen Ver�ffentlichungsdatum Antragsteller TitelUS4713775 *21. Aug. 198515. Dez. 1987Compagnie Generale De GeophysiqueIntelligent assistant for using and operating computer system capabilities to solve problemsUS4847784 *13. Juli 198711. Juli 1989Teknowledge, Inc.Knowledge based tutorUS4853873 *8. Juni 19871. Aug. 1989Hitachi, Ltd.Knowledge information processing system and method thereofUS4935876 *24. Juni 198819. Juni 1990Hitachi, Ltd.Knowledge base management method and systemUS4972328 *16. Dez. 198820. Nov. 1990Bull Hn Information Systems Inc.Interactive knowledge base end user interface driven maintenance and acquisition systemUS4985824 *30. Okt. 198715. Jan. 1991Husseiny; Abdo A.Reliable fuzzy fault tolerant controllerUS5043915 *28. Nov. 198927. Aug. 1991Hitachi, Ltd.Knowledge-based system installed with associative knowledge and inference methodUS5119318 *17. Apr. 19892. Juni 1992Del Partners L.P.Expert control system for real time management of automated factory equipmentUS5121467 *3. Aug. 19909. Juni 1992E.I. Du Pont De Nemours & Co., Inc.Neural network/expert system process control system and methodUS5159685 *6. Dez. 198927. Okt. 1992Racal Data Communications Inc.Expert system for communications networkUS5179633 *29. Juni 199012. Jan. 1993Digital Equipment CorporationMethod and apparatus for efficiently implementing read-type procedural attachments in rete-like pattern matching environmentUS5222197 *28. Juni 199022. Juni 1993Digital Equipment CorporationRule invocation mechanism for inductive learning engineUS5224204 *12. Febr. 199129. Juni 1993Hitachi, Ltd.Inference method and systemUS5239547 *26. Sept. 199024. Aug. 1993Mita Industrial Co., Ltd.Self-diagnosis and self-repair system for image forming apparatus* Vom Pr�fer zitiertNichtpatentzitateReferenz1Angelo Bravos, "The Use of Entitly-Relationship Models to Build Expert Systems," Proceedings of the National Communications Forum, vol. XXXXI, No. II, 1987, Oak Brook, Illinois, pp. 1237-1241.2 *Angelo Bravos, The Use of Entitly Relationship Models to Build Expert Systems, Proceedings of the National Communications Forum, vol. XXXXI, No. II, 1987, Oak Brook, Illinois, pp. 1237 1241.3Christie et al, "CQR: A Hybrid Expert System for Security Assessment", Conference Papers 1989 Power Industry Computer Applications Conference, 1-5 May 1989, pp. 267-273.4 *Christie et al, CQR: A Hybrid Expert System for Security Assessment , Conference Papers 1989 Power Industry Computer Applications Conference, 1 5 May 1989, pp. 267 273.5Durkin, "Induction . . . via ID3"; AI Expert, vol. 7, No. 4, pp. 48-53, Apr. 1992.6 *Durkin, Induction . . . via ID3 ; AI Expert, vol. 7, No. 4, pp. 48 53, Apr. 1992.7Kevin A. Soulsbury et al, "A Rules-Based Approach to Clasification of Chemical Acoustic Emission Signals," Chemometrics and Intelligent Laboratory Systems, vol. 15, No. 5, Mar. 1991, Amsterdam, Netherlands, pp. 87-105.8 *Kevin A. Soulsbury et al, A Rules Based Approach to Clasification of Chemical Acoustic Emission Signals, Chemometrics and Intelligent Laboratory Systems, vol. 15, No. 5, Mar. 1991, Amsterdam, Netherlands, pp. 87 105.9Kim et al, "Case Supported Expert System for Brief Therapy", 1990 IEEE Conf. on Systems, Man and Cybernetics Conf. Proceedings, 4-7 Nov. 1990, pp. 797-799.10 *Kim et al, Case Supported Expert System for Brief Therapy , 1990 IEEE Conf. on Systems, Man and Cybernetics Conf. Proceedings, 4 7 Nov. 1990, pp. 797 799.11Mathis et al, "A software development environment to generate external interfaces for microcomputer-based expert systems"; IEEE conference on managing expert system programs and projects, pp. 193-200, 10-12 Sep. 1990.12 *Mathis et al, A software development environment to generate external interfaces for microcomputer based expert systems ; IEEE conference on managing expert system programs and projects, pp. 193 200, 10 12 Sep. 1990.13Okamura et al, "Development of automatic knowledge-acquisition expert system"; 1991 International conference on industrial electronics, pp. 37-41 vol. 1, 28 Oct.-1 Nov. 1991.14 *Okamura et al, Development of automatic knowledge acquisition expert system ; 1991 International conference on industrial electronics, pp. 37 41 vol. 1, 28 Oct. 1 Nov. 1991.15Quinlan, "Knowledge acquisition from structured data: using determinate literals to assist search"; IEEE Expert, vol. 6, iss. 6, pp. 32-37, Dec. 1991.16 *Quinlan, Knowledge acquisition from structured data: using determinate literals to assist search ; IEEE Expert, vol. 6, iss. 6, pp. 32 37, Dec. 1991.17Sholom M. Weiss et al, "Maximizing the Predictive Value of Production Rules," Artificial Intelligence, vol. 45, No. 1/2, Sep. 1990, Amsterdam, Netherlands, pp. 47-71.18 *Sholom M. Weiss et al, Maximizing the Predictive Value of Production Rules, Artificial Intelligence, vol. 45, No. 1/2, Sep. 1990, Amsterdam, Netherlands, pp. 47 71.19Ultsch et al, "CONKAT: A Connectionist Knowledge Acquisition Tool", Proceedings of the 24th annual Int. Conf. on System Sciences, 8-11 Jan. 1991, pp. 507-513 vol. 1.20 *Ultsch et al, CONKAT: A Connectionist Knowledge Acquisition Tool , Proceedings of the 24th annual Int. Conf. on System Sciences, 8 11 Jan. 1991, pp. 507 513 vol. 1.21Whitaker et al, "Aerospace Applications of Case-Based Reasoning", Proceedings of the IEEE 1990 National Aerospace and Electronics Conference, 21-25 May 1990, pp. 1113-1116 vol. 3.22 *Whitaker et al, Aerospace Applications of Case Based Reasoning , Proceedings of the IEEE 1990 National Aerospace and Electronics Conference, 21 25 May 1990, pp. 1113 1116 vol. 3.23Yamamoto et al, "Multiobjective evaluation expert system by hypothetical reasoning and case-based reasoning"; 1991 International conference on industrial electronics, pp. 1611-1616 vol. 2, 28 Oct.-1 Nov. 1991.24 *Yamamoto et al, Multiobjective evaluation expert system by hypothetical reasoning and case based reasoning ; 1991 International conference on industrial electronics, pp. 1611 1616 vol. 2, 28 Oct. 1 Nov. 1991.* Vom Pr�fer zitiert Referenziert von Zitiert von PatentEingetragen Ver�ffentlichungsdatum Antragsteller TitelUS5659668 *29. Sept. 199419. Aug. 1997Sanyo Electric Co., Ltd.Knowledge base constructing systemUS5719692 *7. Juli 199517. Febr. 1998Lucent Technologies Inc.Rule induction on large noisy data setsUS5724263 *30. Mai 19973. M�rz 1998At&T CorpAutomatic temporospatial pattern analysis and prediction in a telecommunications network using rule inductionUS5758031 *9. Nov. 199326. Mai 1998Omron CorporationRule generating apparatus and methodUS5796926 *6. Juni 199518. Aug. 1998Price Waterhouse LlpMethod and apparatus for learning information extraction patterns from examplesUS5799293 *4. Nov. 199625. Aug. 1998Ford Global Technologies, Inc.Method for optimizing the design of a product using knowledge-based engineering techniquesUS5802509 *11. Juli 19971. Sept. 1998Hitachi, Ltd.Rule generation system and method of generating ruleUS5841895 *25. Okt. 199624. Nov. 1998Pricewaterhousecoopers, LlpMethod for learning local syntactic relationships for use in example-based information-extraction-pattern learningUS6321217 *29. Apr. 199920. Nov. 2001Hitachi, Ltd.Data analyzing method for generating rulesUS637054223. Okt. 19989. Apr. 2002Qwest Communications International, Inc.Method and apparatus for knowledge acquisition and managementUS65358636. Apr. 200018. M�rz 2003Ford Motor CompanyMethod for utilizing a knowledge-based systemUS65980364. Apr. 200022. Juli 2003Ford Global Technologies, LlcMethod for serving engineering rules on a network through servlet and appletUS6714889 *25. Febr. 200330. M�rz 2004Hitachi Tohoku Software, Ltd.Production instruction volume decision support method and program thereforUS8185455 *30. Sept. 200522. Mai 2012At&T Intellectual Property I, L.P.Auditing system with interactive rule construction user interface* Vom Pr�fer zitiertDrehenOriginalbildGoogle-Startseite - Sitemap - USPTO-Bulk-Downloads - Datenschutzerkl�rung - Nutzungsbedingungen - �ber Google Patente - Feedback gebenDaten bereitgestellt von IFI CLAIMS Patent Services.© 2012 Google