Please use this identifier to cite or link to this item: http://ena.lp.edu.ua:8080/handle/ntb/45138
Title: Context modelling in process of developing employment solutions
Authors: Zavushchak, I.
Burov, Ye.
Pasichnyk, V.
Affiliation: Lviv Polytechnic National University
Bibliographic description (Ukraine): Zavushchak I. Context modelling in process of developing employment solutions / I. Zavushchak, Ye. Burov, V. Pasichnyk // Econtechmod. — Lublin, 2018. — Vol 7. — No 3. — P. 47–52.
Bibliographic description (International): Zavushchak I. Context modelling in process of developing employment solutions / I. Zavushchak, Ye. Burov, V. Pasichnyk // Econtechmod. — Lublin, 2018. — Vol 7. — No 3. — P. 47–52.
Is part of: Econtechmod, 3 (7), 2018
Journal/Collection: Econtechmod
Issue: 3
Volume: 7
Issue Date: 18-Jun-2018
Place of the edition/event: Lublin
Keywords: models
context
knowledge
contextual model
employment
Number of pages: 6
Page range: 47-52
Start page: 47
End page: 52
Abstract: The intelligent decision making requires the consideration of current contextual information. The article is devoted to construction of formal models for the presentation and usage of contextual information for decision-making in the field of employment. The paper analyses existing approaches to the definition of the concept of context at the conceptual level. The results of comparison of formal context models taking into consideration the requirements for employment business processes are presented. The ontological approach is selected as a basis for contextual models specification. The paper presents the formal representation of the context models for business operations of the employment sector. The model of contextual graphs for the solution of the problem of employment business operations context refinement was developed.
URI: http://ena.lp.edu.ua:8080/handle/ntb/45138
ISSN: 2084-5715
Copyright owner: © Copyright by Lviv Polytechnic National University 2018
© Copyright by Polish Academy of Sciences 2018
© Copyright by University of Engineering and Economics in Rzeszów 2018
© Copyright by University of Life Sciences in Lublin 2018
URL for reference material: https://cup
http://www
References (Ukraine): 1. J. Quinn. 1992. The intelligent enterprise a new paradigm, The Executive, 6(4).48–63.
2. B. Lewis, S. Lee. 2015. The Cognitive Enterprise. Meghan-Kiffer Press, Tampa, FL, USA. – 212 p.
3. Smart Machines: IBM's Watson and the Era of Cognitive Computing. Columbia Business School Publishing by John E. Kelly III, Steve Hamm https://cup. columbia. edu/book/978-0-231-16856-4/smart-machines.
4. M. Bazire, P. Brézillon. 2005. Understanding Context Before Using It. A. Dey et al. (Eds.): CONTEXT 2005, LNAI 3554, Springer-Verlag. 29 –40.
5. Context. – Definition from Merriam-Webster Dictionary. [Electronic resource]. – Access mode:http://www. merriam-webster. com/dictionary/ context.
6. A. Dey. 2001. Understanding and Using Context, Personal and Ubiquitous Computing. Vol. 5. 4–7.
7. M. Kokar, C. Matheus, K. Baclawski. 2009. Ontology-Based Situation Awareness. International Journal of Information Fusion, no. 10(1). – P. 83–98.
8. D. Raz, A. Juhola, J. Serrat-Fernandez, A. Galis.2006. Fast and Efficient Context-Aware Services. Chichester, England: John Wiley &Sons.
9. P. Brézillon. 2005. Task-realization models in contextual graphs. Modeling and Using Context.1-8.
10. C. Bettini et al. 2010. A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing 6.2. – P. 161–180.
11. A. Smirnov, T. Levashova, M. Pashkin. 2009. Models of Context-Managed Decision Support Systems in Dynamic Structured Fields, The works of SPIIRAN. 16–47. (In Russian).
12. T. Strang, C. Linnhoff-Popien. 2004. A context modeling survey, Workshop on advanced context modelling, reasoning and management, UbiComp,Vol. 4. 34–41.
13. J. Ye, L. Coyle, S. Dobson, P. Nixon. 2007. Ontology-based models in pervasive computing systems, The Knowledge Engineering Review 22,no. 4. 315–347.
14. Y Burov. 2010. Working out the context in the cognitive information system of managed models, East European Journal of Advanced Technologies No. 1/7 (43). – Kharkiv: Technological Center,40–47.
15. I. Zavuschak, Y. Burov. 2017. The Context of Operations as the Basis for the Construction of Ontologies of Employment Processes, I. J. Modern Education and Computer Science, 2017, 11, 13–24 Published Online November 2017 in MECS(http://www. mecs-press. org/) DOI: 10.5815/ ijmecs.2017.11.02
16. I. Zavuschak. 2018. Methods of Processing Context in Intelligent Systems, I. J. Modern Education and Computer Science, 2018, 3, p. 1–8, Published Online March 2018 in MECS(http://www. mecs-press. org/) DOI:10.5815/ijmecs.2018.03.01.
References (International): 1. J. Quinn. 1992. The intelligent enterprise a new paradigm, The Executive, 6(4).48–63.
2. B. Lewis, S. Lee. 2015. The Cognitive Enterprise. Meghan-Kiffer Press, Tampa, FL, USA, 212 p.
3. Smart Machines: IBM's Watson and the Era of Cognitive Computing. Columbia Business School Publishing by John E. Kelly III, Steve Hamm https://cup. columbia. edu/book/978-0-231-16856-4/smart-machines.
4. M. Bazire, P. Brézillon. 2005. Understanding Context Before Using It. A. Dey et al. (Eds.): CONTEXT 2005, LNAI 3554, Springer-Verlag. 29 –40.
5. Context, Definition from Merriam-Webster Dictionary. [Electronic resource], Access mode:http://www. merriam-webster. com/dictionary/ context.
6. A. Dey. 2001. Understanding and Using Context, Personal and Ubiquitous Computing. Vol. 5. 4–7.
7. M. Kokar, C. Matheus, K. Baclawski. 2009. Ontology-Based Situation Awareness. International Journal of Information Fusion, no. 10(1), P. 83–98.
8. D. Raz, A. Juhola, J. Serrat-Fernandez, A. Galis.2006. Fast and Efficient Context-Aware Services. Chichester, England: John Wiley &Sons.
9. P. Brézillon. 2005. Task-realization models in contextual graphs. Modeling and Using Context.1-8.
10. C. Bettini et al. 2010. A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing 6.2, P. 161–180.
11. A. Smirnov, T. Levashova, M. Pashkin. 2009. Models of Context-Managed Decision Support Systems in Dynamic Structured Fields, The works of SPIIRAN. 16–47. (In Russian).
12. T. Strang, C. Linnhoff-Popien. 2004. A context modeling survey, Workshop on advanced context modelling, reasoning and management, UbiComp,Vol. 4. 34–41.
13. J. Ye, L. Coyle, S. Dobson, P. Nixon. 2007. Ontology-based models in pervasive computing systems, The Knowledge Engineering Review 22,no. 4. 315–347.
14. Y Burov. 2010. Working out the context in the cognitive information system of managed models, East European Journal of Advanced Technologies No. 1/7 (43), Kharkiv: Technological Center,40–47.
15. I. Zavuschak, Y. Burov. 2017. The Context of Operations as the Basis for the Construction of Ontologies of Employment Processes, I. J. Modern Education and Computer Science, 2017, 11, 13–24 Published Online November 2017 in MECS(http://www. mecs-press. org/) DOI: 10.5815/ ijmecs.2017.11.02
16. I. Zavuschak. 2018. Methods of Processing Context in Intelligent Systems, I. J. Modern Education and Computer Science, 2018, 3, p. 1–8, Published Online March 2018 in MECS(http://www. mecs-press. org/) DOI:10.5815/ijmecs.2018.03.01.
Content type: Article
Appears in Collections:Econtechmod. – 2018. – Vol. 7, No. 3



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