| DC Field | Value | Language |
|---|
| dc.contributor.author | Zavuschak, I. | - |
| dc.date.accessioned | 2018-02-12T13:13:15Z | - |
| dc.date.available | 2018-02-12T13:13:15Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Zavuschak I. The context analysis and the process of its formation / I. Zavuschak // Econtechmod : an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin ; Rzeszow, 2017. – Volum 6, number 2. – P. 67–72. – Bibliography: 20 titles. | uk_UA |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/39422 | - |
| dc.description.abstract | The development of the global economy and increased competition requires organizations to find new ways to enhance their competitive advantage. The most important and powerful source of important benefits organizations now have
the knowledge and study of the subject – knowledge management processes. The efficiency of knowledge management depends on how these processes are interrelated
infrastructure and processes of the organization to support the achievement of its objectives. To understand these relationships and present, not a simple list of elements and processes of the organization. Thus, we can conclude that requires an integrated structure in which all integrated dynamic coherent whole. | uk_UA |
| dc.language.iso | en | uk_UA |
| dc.publisher | Commission of Motorization and Energetics in Agriculture | uk_UA |
| dc.subject | context | uk_UA |
| dc.subject | knowledge | uk_UA |
| dc.subject | type | uk_UA |
| dc.subject | processes | uk_UA |
| dc.subject | object | uk_UA |
| dc.subject | context models | uk_UA |
| dc.subject | control contexts | uk_UA |
| dc.title | The context analysis and the process of its formation | uk_UA |
| dc.type | Article | uk_UA |
| dc.contributor.affiliation | Lviv Polytechnic National University | uk_UA |
| dc.coverage.country | PL | uk_UA |
| dc.format.pages | 67-72 | - |
| dc.relation.referencesen | 1. Brezillon P. 1999 Context in Artificial Intelligence: I. A Survey of the Literature / Brezillon P. // Computer & Artificial Intelligence, No. 4, рр. 321–340. 2. Burov Y. 2014 Business process modelling using ontological task models // Econtechmod : an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin; Rzeszow,. – Vol. 3, No. 1. – рр. 11–22. 3. Dey A. K. 2001 Understanding and Using Context / Dey A. K. // Personal and Ubiquitous Computing, No. 1, рр. 4–7. 4. Fridman N. 1997 Hafner Ontology Design: A Survey and Comparative Review // AI Magazine, No. 18 (3), рр. 53 – 74. 5. Gavrilova Т. А. 2000 Bases of knowledge of intellectual systems / Gavrilova Т. А. , Khoroshevsky V. F. – St. Petersburg: Peter. – 382 p. 6. Gavrilov A. V. 2003 Hybrid Intelligent Systems / Gavrilov A. V. – N.: NSTU. – 164 p. 7. Gruber T. R. 1993 A translation approach to portable ontology specifications / Gruber T. R. // Knowledge Acquisition, Vol 5, рр. 199–220. 8. Hitzle P. 2005 What Is Ontology Merging? A Category- Theoretical Perspective Using Pushouts / Hitzle P., Krötzsch M., Ehrig M., Sure Y. // Proc. First Intern. Workshop on Contexts and Ontologies: Theory, Practice and Applications (C & 0) held in conjunction with the 20th National Conference on Artificial Intelligence (AAAI-05), 2005, Pittsburgh, Pennsylvania: AAAI Press, рр. 104–107. 9. Jackson P. 2001 Introduction to expert systems / Jackson P., M.: Williams, 624 p. 10. Konev B. 2010 Decomposing description of logic ontologies / Konev B., Lutz C., Ponomaryov D., Wolter F. // In Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, May 9-13,2010, Toronto , Ontario, Canada: AAAI Press, 2010. 11. Kuzmin O. Ye. and Melnyk O. H. and Shpak N. O. and Mukan O. V. 2012. The concept of creation and use of the polycriterial diagnostics systems of enterprise activity, Econtechmod. An international quarterly journal on economics in technology, new technologies and modelling processes, Vol. I, No. 4, рр. 23–28 12. Lyons J. 2003 Linguistic Semantics: an Introduction / Lyons J, Cambridge University Press, 376 p. 13. Natalya F. 2001 Ontology Development 101: A Guide to Creating Your First Ontology / Natalya F. Noy, Deborah L. McGuinness // Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880, 23 p. 14. Osuga S. 2001 The processing of knowledge / Osuga S., M.: Mir, 293 p. 15. Pomerol J.-Ch. 2001 About Some Relationships between Knowledge and Context / Pomerol J.-Ch., Brézillon P. // Modeling and Using Context (CONTEXT-01), Dundee, Scotland. Lecture Notes in Computer Science, Springer Verlag, рр. 461–464. 16. Spitsyn V..G. 2001 Knowledge bases and expert systems / Spitsyn VG, Т.: TPU, 88 p. 17. Spitsyn V..G. 2007 Representation of knowledge in information systems: textbook / Spitsyn V. G., Tsoi Yu. R., T.: TPU, 160 p. 18. Smirnov A. V. 2009 Models of context-driven decision support systems in dynamic structured domains / Smirnov A. V., Levashova T. V., Pashkin M. P. // Proceedings of SPIIRAS, No. 9, рр. 116–147. 19. Smirnov A. V. 2004 Formation of the task context for intellectual support of decision-making. / Smirnov AV, Pashkin MP, Shilov NG, Levashova TV, Krizhanovskii AA // Fundamental Foundations of Information Technologies and Systems. Proceedings of the Institute of System Analysis of the Russian Academy of Sciences, No. 9, рр. 125–188. 20. Winograd T. 2001 Architectures for Context / Winograd T. // Human-Computer Interaction, рр. 2–3. | uk_UA |
| dc.citation.journalTitle | Econtechmod | - |
| dc.citation.volume | Volum 6, number 2 | - |
| dc.coverage.placename | Lublin ; Rzeszow | uk_UA |
| Appears in Collections: | Econtechmod. – 2017. – Vol. 6, No. 2
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