Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://ena.lp.edu.ua:8080/handle/ntb/42568
Назва: Ontology using for decision making in a competitive environment
Автори: Lytvyn, Vasyl
Oborska, Oksana
Vysotska, Victoria
Dosyn, Dmytro
Demchuk, Andriy
Приналежність: Lviv Polytechnic National University, Lviv, Ukraine
Silesian University of Technologyty, Gliwice, Poland
Karpenko Physico-Mechanical Institute of the NAS Ukraine
Бібліографічний опис: Ontology using for decision making in a competitive environment / Vasyl Lytvyn, Oksana Oborska, Victoria Vysotska, Dmytro Dosyn, Andriy Demchuk // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 17–27. — (Part 1. Keynote speakers talks).
Bibliographic description: Ontology using for decision making in a competitive environment / Vasyl Lytvyn, Oksana Oborska, Victoria Vysotska, Dmytro Dosyn, Andriy Demchuk // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 17–27. — (Part 1. Keynote speakers talks).
Є частиною видання: Computational linguistics and intelligent systems (2), 2018
Дата публікації: 25-чер-2018
Видавництво: Lviv Polytechnic National University
Місце видання, проведення: Lviv
Часове охоплення: 25-27 June 2018
Теми: decision support system (DSS)
ontology
knowledge database
Boyd cycle (OODA)
observation
orientation
decision
action
genetic algorithms
expected value
probability
Кількість сторінок: 11
Діапазон сторінок: 17-27
Початкова сторінка: 17
Кінцева сторінка: 27
Короткий огляд (реферат): A method of decision making system elaboration in competitive environment based on ontological approach was developed. The models based on a hinged Boyd-Moore automaton. State machine loops are the stages Boyd and filling processes, ontology editing and a search of relevant knowledge ontology. Possible transitions between the states of the machine and transfer parameters between them were determined. For a quantitative modeling of decision support process in a competitive environment, mathematical support and methods of domain-specific ontology in the Boyd cycle (OODA – observation, orientation, decision, action) were elaborated. Thus, for the military at an “Observations” stage intelligence domain ontology determining of the strengths and weaknesses of the enemy. At the stage of “orientation”, ontological data are used for simulation of possible realizations of the battle and for optimal positioning of the forces. For “Resolution” stage, target distribution was developed using a method based on genetic algorithms, which helped to reduce the computational complexity of finding effective distribution targets. Ontology expertise based on descriptive logic is presented to increase the effectiveness of possible solutions.
URI (Уніфікований ідентифікатор ресурсу): http://ena.lp.edu.ua:8080/handle/ntb/42568
ISSN: 2523-4013
Власник авторського права: © 2018 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.
URL-посилання пов’язаного матеріалу: http://bobo.link.cs.cmu.edu/link
http://ccc.inaoep.mx/~mmontesg/publicaciones/
http://colins.in.ua/wpcontent/
Перелік літератури: 1. Hatzi, O., Vrakas, D., Bassiliades, N., Anagnostopoulos, D., Vlahavas, I.: The PORSCE II Framework: Using AI Planning for Automated Semantic Web Service Composition. In: The Knowledge Engineering Review, Cambridge University Press, 2(3), 1-24 (2010)
2. Gruber, T.: A translation approach to portable ontologies. In: Knowledge Acquisition, 5/2(2), 199-220 (1993)
3. Link Grammar, Carnegie Mellon University. Available: http://bobo.link.cs.cmu.edu/link.
4. Guarino,N.: Formal Ontology, Conceptual Analysis and Knowledge Representation. In: International Journal of Human-Computer Studies, 43(5-6), 625-640 (1995)
5. Sowa, J.: Conceptual Graphs as a universal knowledge representation. In: Semantic Networks in Artificial Intelligence, Computers & Mathematics with Applications, 23(2–5), Part 1, 75-95 (1992)
6. Montes-y-Gómez, M., Gelbukh, A., López-López, A.: Comparison of Conceptual Graphs. In: Lecture Notes in Artificial Intelligence, 1793, http://ccc.inaoep.mx/~mmontesg/publicaciones/ 2000/ComparisonCG.
7. Bulskov, H., Knappe, R., Andreasen, R.: On Querying Ontologies and Databases. In: FQAS, 191-202 (2004)
8. Callı, A., Gottlob, G., Pieris, A.: Advanced processing for ontological queries. In: Proc. of the 36th International Conference on Very Large Databases, 554-565 (2010)
9. Fensli Rune, Jan Pettersen Nytun Master: An Ontology-Based Decision Support System for Interventions based on Monitoring Medical Conditions on Patients in Hospital Wards By Tian Zhao Supervisors. In: Proceedings of the International Conference on Information and Communication Technology, Spring, Faculty of Engineering and Science University of Agder Grimstad, June 2 (2014).
10. Ugon, A., Sedki, K., Kotti, A., Seroussi, B., Philippe, C., Ganascia, J., Garda, P., Bouaud, J., Pinna, A.: Decision System Integrating Preferences to Support Sleep Staging. In: Studies in health technology and informatics, 228, 514-518 (2016)
11. Galopin, A., Bouaud, J., Pereira, S., Seroussi, B.: An Ontology-Based Clinical Decision Support System for the Management of Patients with Multiple Chronic Disorders. In: Studies in health technology and informatics, 216, 275-279 (2015).
12. M. Rospocher, L. Serafini, “An Ontological Framework for Decision Support Joint”, in Proceedings of the International Semantic Technology Conference, 2012, pp 239-254.
13. Rospocher, M., Serafini, L.: Ontology-centric decision support. In: Proc. of the Inter. Conf. on Semantic Technologies Meet Recommender Systems & Big Data, 919, 61-72 (2012)
14. Lytvyn, V., Vysotska, V., Chyrun, L., Chyrun, L.: Distance Learning Method for Modern Youth Promotion and Involvement in Independent Scientific Researches. . In: International Conference on Data Stream Mining & Processing, 269-274 (2016)
15. Lytvyn, V., Vysotska, V., Burov, Y., Veres, O., Rishnyak, I.: The Contextual Search Method Based on Domain Thesaurus. In: Advances in Intelligent Systems and Computing, 689, 310-319 (2017)
16. Vysotska, V.: Linguistic Analysis of Textual Commercial Content for Information Resources Processing. In: Modern Problems of Radio Engineering, Telecommunications and Computer Science, TCSET, 709-713 (2016)
17. Su, J., Vysotska, V., Sachenko, A., Lytvyn, V., Burov, Y.: Information resources processing using linguistic analysis of textual content. In: Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 573-578 (2017)
18. Lytvyn, V., Vysotska, V., Veres, O., Rishnyak, I., Rishnyak, H.: Content Linguistic Analysis Methods for Textual Documents Classification. In: International Conference on Computer Science and Information Technologies, Lviv, Ukraine, 190-192 (2016)
19. Mykich, K., Burov, Y.: Research of uncertainties in situational awareness systems and methods of their processing. In: EasternEuropean Journal of Enterprise Technologies, 1(79), 19-26 (2016)
20. Vysotska, V., Rishnyak, I., Chyrun, L.: Analysis and evaluation of risks in electronic commerce. In: CAD Systems in Microelectronics, CADSM ’07, 9th International Conference, Lviv, 332-333 (2007)
21. Vysotska, V., Chyrun, L.: Analysis features of information resources processing. In: Computer Science and Information Technologies, 124-128 (2015)
22. Lytvyn, V., Vysotska, V.: Designing architecture of electronic content commerce system. In: Computer Science and Information Technologies, Proc. of the X–th Int. Conf. CSIT, 115-119 (2015)
23. Khomytska, I., Teslyuk, V.: Modelling of Phonostatistical Structures of English Backlingual Phoneme Group in Style System. In: Proceedings of the 14th International Conference on CADMS, 324-327 (2017)
24. Khomytska, I., Teslyuk, V.: Modelling of Phonostatistical Structures of the Colloquial and Newspaper Styles in English Sonorant Phoneme Group. In: XIIth Conference on CSIT, Lviv, 67-70 (2017)
25. Teslyuk, V., Beregovskyi, V., Denysyuk, P., Teslyuk, T., Lozynskyi, A.: Development and Implementation of the Technical Accident Prevention Subsystem for the Smart Home System. In: Intern. Journal of Intelligent Systems and Applications, 10(1), 1-8 (2018)
26. Bondariev, A., Kiselychnyk, M., Nadobko, O., Nedostup, L., Chyrun, L., Shestakevych, T.: The software complex development for modeling and optimizing of processes of radioengineering equipment quality providing at the stage of manufacture. In: TCSET, (2012)
27. Vysotska, V., Chyrun, L., Lytvyn, V.: Methods based on ontologies for information resources processing. Germany: LAP LAMBERT Academic Publishing (2016).
28. Vysotska, V.: Tekhnolohiyi elektronnoyi komertsiyi ta Internet-marketynhu. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
29. Vysotska, V., Lytvyn, V.: Web resources processing based on ontologies. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
30. Vysotska, V., Shakhovska, N.: Information technologies of gamification for training and recruitment. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
31. Vysotska, V.: Internet systems design and development based on Web Mining and NLP. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
32. Vysotska, V.: Computer linguistics for online marketing in information technology : Monograph. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
33. Lytvyn, V., Vysotska, V., Chyrun, L., Smolarz, A., Naum O.: Intelligent System Structure for Web Resources Processing and Analysis. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 56-74 (2017)
34. Lytvyn, V., Vysotska, V., Wojcik, W., Dosyn, D.: A Method of Construction of Automated Basic Ontology. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 75-83 (2017)
35. Lytvynenko, V., Lurie, I., Radetska, S., Voronenko, M., Kornilovska, N., Partenjucha, D.: Content analysis of some social media of the occupied territories of Ukraine. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 84–94 (2017)
36. Shepelev, G., Khairova, N.: Methods of comparing interval objects in intelligent computer systems. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 100–109 (2017)
37. Orobinska, O., Chauchat, J.-H., Sharonova, N.: Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security). In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 95–99 (2017)
38. Hamon, T., Grabar, N.: Unsupervised acquisition of morphological resources for Ukrainian. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 20–30 (2017)
39. Grabar, N., Hamon, T.: Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 10–19 (2017)
40. Hamon, T.: Biomedical text mining. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/2017COLINS-THAMON-keynote.pdf (2017)
References: 1. Hatzi, O., Vrakas, D., Bassiliades, N., Anagnostopoulos, D., Vlahavas, I., The PORSCE II Framework: Using AI Planning for Automated Semantic Web Service Composition. In: The Knowledge Engineering Review, Cambridge University Press, 2(3), 1-24 (2010)
2. Gruber, T., A translation approach to portable ontologies. In: Knowledge Acquisition, 5/2(2), 199-220 (1993)
3. Link Grammar, Carnegie Mellon University. Available: http://bobo.link.cs.cmu.edu/link.
4. Guarino,N., Formal Ontology, Conceptual Analysis and Knowledge Representation. In: International Journal of Human-Computer Studies, 43(5-6), 625-640 (1995)
5. Sowa, J., Conceptual Graphs as a universal knowledge representation. In: Semantic Networks in Artificial Intelligence, Computers & Mathematics with Applications, 23(2–5), Part 1, 75-95 (1992)
6. Montes-y-Gómez, M., Gelbukh, A., López-López, A., Comparison of Conceptual Graphs. In: Lecture Notes in Artificial Intelligence, 1793, http://ccc.inaoep.mx/~mmontesg/publicaciones/ 2000/ComparisonCG.
7. Bulskov, H., Knappe, R., Andreasen, R., On Querying Ontologies and Databases. In: FQAS, 191-202 (2004)
8. Callı, A., Gottlob, G., Pieris, A., Advanced processing for ontological queries. In: Proc. of the 36th International Conference on Very Large Databases, 554-565 (2010)
9. Fensli Rune, Jan Pettersen Nytun Master: An Ontology-Based Decision Support System for Interventions based on Monitoring Medical Conditions on Patients in Hospital Wards By Tian Zhao Supervisors. In: Proceedings of the International Conference on Information and Communication Technology, Spring, Faculty of Engineering and Science University of Agder Grimstad, June 2 (2014).
10. Ugon, A., Sedki, K., Kotti, A., Seroussi, B., Philippe, C., Ganascia, J., Garda, P., Bouaud, J., Pinna, A., Decision System Integrating Preferences to Support Sleep Staging. In: Studies in health technology and informatics, 228, 514-518 (2016)
11. Galopin, A., Bouaud, J., Pereira, S., Seroussi, B., An Ontology-Based Clinical Decision Support System for the Management of Patients with Multiple Chronic Disorders. In: Studies in health technology and informatics, 216, 275-279 (2015).
12. M. Rospocher, L. Serafini, "An Ontological Framework for Decision Support Joint", in Proceedings of the International Semantic Technology Conference, 2012, pp 239-254.
13. Rospocher, M., Serafini, L., Ontology-centric decision support. In: Proc. of the Inter. Conf. on Semantic Technologies Meet Recommender Systems & Big Data, 919, 61-72 (2012)
14. Lytvyn, V., Vysotska, V., Chyrun, L., Chyrun, L., Distance Learning Method for Modern Youth Promotion and Involvement in Independent Scientific Researches. . In: International Conference on Data Stream Mining & Processing, 269-274 (2016)
15. Lytvyn, V., Vysotska, V., Burov, Y., Veres, O., Rishnyak, I., The Contextual Search Method Based on Domain Thesaurus. In: Advances in Intelligent Systems and Computing, 689, 310-319 (2017)
16. Vysotska, V., Linguistic Analysis of Textual Commercial Content for Information Resources Processing. In: Modern Problems of Radio Engineering, Telecommunications and Computer Science, TCSET, 709-713 (2016)
17. Su, J., Vysotska, V., Sachenko, A., Lytvyn, V., Burov, Y., Information resources processing using linguistic analysis of textual content. In: Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 573-578 (2017)
18. Lytvyn, V., Vysotska, V., Veres, O., Rishnyak, I., Rishnyak, H., Content Linguistic Analysis Methods for Textual Documents Classification. In: International Conference on Computer Science and Information Technologies, Lviv, Ukraine, 190-192 (2016)
19. Mykich, K., Burov, Y., Research of uncertainties in situational awareness systems and methods of their processing. In: EasternEuropean Journal of Enterprise Technologies, 1(79), 19-26 (2016)
20. Vysotska, V., Rishnyak, I., Chyrun, L., Analysis and evaluation of risks in electronic commerce. In: CAD Systems in Microelectronics, CADSM ’07, 9th International Conference, Lviv, 332-333 (2007)
21. Vysotska, V., Chyrun, L., Analysis features of information resources processing. In: Computer Science and Information Technologies, 124-128 (2015)
22. Lytvyn, V., Vysotska, V., Designing architecture of electronic content commerce system. In: Computer Science and Information Technologies, Proc. of the X–th Int. Conf. CSIT, 115-119 (2015)
23. Khomytska, I., Teslyuk, V., Modelling of Phonostatistical Structures of English Backlingual Phoneme Group in Style System. In: Proceedings of the 14th International Conference on CADMS, 324-327 (2017)
24. Khomytska, I., Teslyuk, V., Modelling of Phonostatistical Structures of the Colloquial and Newspaper Styles in English Sonorant Phoneme Group. In: XIIth Conference on CSIT, Lviv, 67-70 (2017)
25. Teslyuk, V., Beregovskyi, V., Denysyuk, P., Teslyuk, T., Lozynskyi, A., Development and Implementation of the Technical Accident Prevention Subsystem for the Smart Home System. In: Intern. Journal of Intelligent Systems and Applications, 10(1), 1-8 (2018)
26. Bondariev, A., Kiselychnyk, M., Nadobko, O., Nedostup, L., Chyrun, L., Shestakevych, T., The software complex development for modeling and optimizing of processes of radioengineering equipment quality providing at the stage of manufacture. In: TCSET, (2012)
27. Vysotska, V., Chyrun, L., Lytvyn, V., Methods based on ontologies for information resources processing. Germany: LAP LAMBERT Academic Publishing (2016).
28. Vysotska, V., Tekhnolohiyi elektronnoyi komertsiyi ta Internet-marketynhu. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
29. Vysotska, V., Lytvyn, V., Web resources processing based on ontologies. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
30. Vysotska, V., Shakhovska, N., Information technologies of gamification for training and recruitment. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
31. Vysotska, V., Internet systems design and development based on Web Mining and NLP. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
32. Vysotska, V., Computer linguistics for online marketing in information technology : Monograph. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
33. Lytvyn, V., Vysotska, V., Chyrun, L., Smolarz, A., Naum O., Intelligent System Structure for Web Resources Processing and Analysis. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 56-74 (2017)
34. Lytvyn, V., Vysotska, V., Wojcik, W., Dosyn, D., A Method of Construction of Automated Basic Ontology. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 75-83 (2017)
35. Lytvynenko, V., Lurie, I., Radetska, S., Voronenko, M., Kornilovska, N., Partenjucha, D., Content analysis of some social media of the occupied territories of Ukraine. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 84–94 (2017)
36. Shepelev, G., Khairova, N., Methods of comparing interval objects in intelligent computer systems. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 100–109 (2017)
37. Orobinska, O., Chauchat, J.-H., Sharonova, N., Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security). In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 95–99 (2017)
38. Hamon, T., Grabar, N., Unsupervised acquisition of morphological resources for Ukrainian. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 20–30 (2017)
39. Grabar, N., Hamon, T., Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 10–19 (2017)
40. Hamon, T., Biomedical text mining. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/2017COLINS-THAMON-keynote.pdf (2017)
Тип вмісту : Conference Abstract
Розташовується у зібраннях:Computational linguistics and intelligent systems. – 2018 р.



Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.