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dc.contributor.authorШекета, В.
dc.contributor.authorSheketa, V.
dc.date.accessioned2026-03-04T16:46:51Z-
dc.date.available2026-03-04T16:46:51Z-
dc.date.created2003-12-09
dc.date.issued2003-12-09
dc.date.submitted2003-09-14
dc.identifier.citationШекета В. Модифікаційні предикатні запити як інструмент підтримки діалогу з користувачем в інформаційних системах на основі баз даних і знань / В. Шекета // Вісник ТДТУ. — Т. : ТДТУ, 2003. — Том 8. — № 4. — С. 113–119. — (Математичне моделювання. Математика. Фізика).
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/lib/51903-
dc.description.abstractВиконано побудову формально-логічного апарату для модифікаційних предикатних запитів, як універсального інструменту підтримки діалогу з користувачем в інформаційних системах на основі баз даних і знань нафтогазової предметної області.
dc.description.abstractThis paper is dealing with the construction of formal-logical apparatus for the predicate queries modifications, as an universal instrument for supporting dialog with an user in the information systems on the basis of databases and knowledgebases of oil and gas subject domain.
dc.format.extent113-119
dc.language.isouk
dc.publisherТДТУ
dc.publisherTSTU
dc.relation.ispartofВісник Тернопільського державного технічного університету, 4 (8), 2003
dc.relation.ispartofScientific Journal of the Ternopil State Technical University, 4 (8), 2003
dc.titleМодифікаційні предикатні запити як інструмент підтримки діалогу з користувачем в інформаційних системах на основі баз даних і знань
dc.title.alternativePredicate queries modifications, as a tool for supporting dialogs with an user in information systems on the basis of databases and knowledge bases of oil and gas subject domain
dc.typeArticle
dc.rights.holder© Тернопільський державний технічний університет імені Івана Пулюя, 2003
dc.coverage.placenameТернопіль
dc.coverage.placenameTernopil
dc.format.pages7
dc.subject.udc681. 3
dc.subject.udc622. 276
dc.relation.references1. Шекета В.І. Іінформаційна система для прогнозування нафтогазоносних покладів. Дисертація на здобуття наукового ступеня кандидата технічних наук. - Херсон,1999.-130 с.
dc.relation.references2. Flake G.W. and Lawrence S. Efficient SVM regression training with SMO. Machine Learning, 46(1/3):pp.271–290, 2002.
dc.relation.references3. Lifschitz V. Foundations of logic programming. In Principles of Knowledge Representation, pp. 69–127. CSLI Publications, 1996.
dc.relation.references4. Hemerly A. S., Casanova M. A., Furtado A. L.: Cooperative behavior through Request Modification. In: Proc. 10th Conference on the Entity-Relationship Approach, pp.607–621, 1991.
dc.relation.references5. Magennis M. and van Rijsbergen C. J. The potential and actual effectiveness of interactive query expansion. Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.-pp. 324-331. Philadelphia. 1997
dc.relation.references6. Howe A. E. and Dreilinger D. SavvySearch: A meta-search engine that learns which search engines to query. AI Magazine, 18(2), 1997.
dc.relation.references7. Sormunen E., Laaksonen J., Keskustalo H., Kemppainen H., Laitinen H. The IR Game - A Tool for Rapid Query Analysis in Cross-Language IR Experiments. PRICAI ʼ98 Workshop on Cross Language Issues in Artificial Intelligence. Singapore, Nov 22-24, 1998, pp. 22-32.
dc.relation.references8. Glover E. J. , Lawrence S. , Birmingham W. P. and Giles C. L. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information Knowledge Management (CIKM’99), pp. 210–216, Kansas City, MO, November 1999. ACM Press.
dc.relation.references9. Sormunen E. A Novel Method for the Evaluation of Boolean Query Effectiveness across a Wide Operational Range. In: Belkin NJ, Ingwersen P and Leong M-K SIGIR 2000, Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Athens July 24-28, 2000. Special Issue of the SIGIR Forum 34:pp.25-32.
dc.relation.references10. Glover E. , Flake G. , Lawrence S. , Birmingham W. P. , Kruger A. , Giles C. L. and Pennock D. Improving category specific web search by learning query modifications. In Symposium on Applications and the Internet, SAINT, San Diego, CA, January 8–12 , 2001.
dc.relation.references11. Alferes J.J. and Pereira L.M. Update-programs can update programs. In Non-Monotonic Extensions of Logic Programming (Bad Honnef, 1996), volume 1216 of Lecture Notes in Computer Science, pp.110–131, Berlin, 1997. Springer.
dc.relation.references12. Niemel I. and Simons P. Efficient implementation of the well-founded and stable model semantics. In M.J. Maher, editor, Proceedings of the 1996 Joint International Conference and Syposium on Logic Programming (JICSLP-96) (Bonn, Germany, September 2-6, 1996), pp.289–303. MIT Press, 1996.
dc.relation.references13. Berman K. , Schlipf J. and Franco J. Computing the well-founded semantics faster. In Logic Programming and Nonmonotonic Reasoning (Lexington, KY, 1995), volume 928 of Lecture Notes in Computer Science, pp. 113–125, Berlin, 1995. Springer.
dc.relation.referencesen1. Sheketa V.I. Iinformatsiina systema dlia prohnozuvannia naftohazonosnykh pokladiv. Dysertatsiia na zdobuttia naukovoho stupenia kandydata tekhnichnykh nauk, Kherson,1999.-130 p.
dc.relation.referencesen2. Flake G.W. and Lawrence S. Efficient SVM regression training with SMO. Machine Learning, 46(1/3):pp.271–290, 2002.
dc.relation.referencesen3. Lifschitz V. Foundations of logic programming. In Principles of Knowledge Representation, pp. 69–127. CSLI Publications, 1996.
dc.relation.referencesen4. Hemerly A. S., Casanova M. A., Furtado A. L., Cooperative behavior through Request Modification. In: Proc. 10th Conference on the Entity-Relationship Approach, pp.607–621, 1991.
dc.relation.referencesen5. Magennis M. and van Rijsbergen C. J. The potential and actual effectiveness of interactive query expansion. Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.-pp. 324-331. Philadelphia. 1997
dc.relation.referencesen6. Howe A. E. and Dreilinger D. SavvySearch: A meta-search engine that learns which search engines to query. AI Magazine, 18(2), 1997.
dc.relation.referencesen7. Sormunen E., Laaksonen J., Keskustalo H., Kemppainen H., Laitinen H. The IR Game - A Tool for Rapid Query Analysis in Cross-Language IR Experiments. PRICAI ʼ98 Workshop on Cross Language Issues in Artificial Intelligence. Singapore, Nov 22-24, 1998, pp. 22-32.
dc.relation.referencesen8. Glover E. J. , Lawrence S. , Birmingham W. P. and Giles C. L. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information Knowledge Management (CIKM’99), pp. 210–216, Kansas City, MO, November 1999. ACM Press.
dc.relation.referencesen9. Sormunen E. A Novel Method for the Evaluation of Boolean Query Effectiveness across a Wide Operational Range. In: Belkin NJ, Ingwersen P and Leong M-K SIGIR 2000, Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Athens July 24-28, 2000. Special Issue of the SIGIR Forum 34:pp.25-32.
dc.relation.referencesen10. Glover E. , Flake G. , Lawrence S. , Birmingham W. P. , Kruger A. , Giles C. L. and Pennock D. Improving category specific web search by learning query modifications. In Symposium on Applications and the Internet, SAINT, San Diego, CA, January 8–12 , 2001.
dc.relation.referencesen11. Alferes J.J. and Pereira L.M. Update-programs can update programs. In Non-Monotonic Extensions of Logic Programming (Bad Honnef, 1996), volume 1216 of Lecture Notes in Computer Science, pp.110–131, Berlin, 1997. Springer.
dc.relation.referencesen12. Niemel I. and Simons P. Efficient implementation of the well-founded and stable model semantics. In M.J. Maher, editor, Proceedings of the 1996 Joint International Conference and Syposium on Logic Programming (JICSLP-96) (Bonn, Germany, September 2-6, 1996), pp.289–303. MIT Press, 1996.
dc.relation.referencesen13. Berman K. , Schlipf J. and Franco J. Computing the well-founded semantics faster. In Logic Programming and Nonmonotonic Reasoning (Lexington, KY, 1995), volume 928 of Lecture Notes in Computer Science, pp. 113–125, Berlin, 1995. Springer.
dc.contributor.affiliationІвано-Франківський національний технічний університет нафти і газу
dc.citation.journalTitleВісник Тернопільського державного технічного університету
dc.citation.volume8
dc.citation.issue4
dc.citation.spage113
dc.citation.epage119
dc.identifier.citation2015Шекета В. Модифікаційні предикатні запити як інструмент підтримки діалогу з користувачем в інформаційних системах на основі баз даних і знань // Вісник ТДТУ, Тернопіль. 2003. Том 8. № 4. С. 113–119.
dc.identifier.citationenAPASheketa, V. (2003). Modyfikatsiini predykatni zapyty yak instrument pidtrymky dialohu z korystuvachem v informatsiinykh systemakh na osnovi baz danykh i znan [Predicate queries modifications, as a tool for supporting dialogs with an user in information systems on the basis of databases and knowledge bases of oil and gas subject domain]. Scientific Journal of the Ternopil State Technical University, 8(4), 113-119. TSTU. [in Ukrainian].
dc.identifier.citationenCHICAGOSheketa V. (2003) Modyfikatsiini predykatni zapyty yak instrument pidtrymky dialohu z korystuvachem v informatsiinykh systemakh na osnovi baz danykh i znan [Predicate queries modifications, as a tool for supporting dialogs with an user in information systems on the basis of databases and knowledge bases of oil and gas subject domain]. Scientific Journal of the Ternopil State Technical University (Tern.), vol. 8, no 4, pp. 113-119 [in Ukrainian].
Apareix a les col·leccions:Вісник ТДТУ, 2003, том 8, № 4



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