The context of operations as the basis for the construction of ontologies of employment processes
Автор: Iryna Zavuschak, Yevhen Burov
Журнал: International Journal of Modern Education and Computer Science @ijmecs
Статья в выпуске: 11 vol.9, 2017 года.
Бесплатный доступ
The growing tempo of changes in world’s economics emphasizes the ability of enterprise to adapt to changes in business environment as an important competitive advantage. Adaptive intelligent enterprises, which use knowledge models for adaptation, form basis of cognitive economics. Currently those intelligent enterprises are utilizing ontological modeling for knowledge representation. In this article, a method for building ontology based on analysis of context of business operations is proposed. The application of this method is described in detail using recruitment area business process as example. The developed method of ontology construction allows for continuous ontology modification and update and accentuates the analysis of implicit context information.
Context, ontology, recruitment, business process, intelligent enterprise
Короткий адрес: https://sciup.org/15016710
IDR: 15016710 | DOI: 10.5815/ijmecs.2017.11.02
Список литературы The context of operations as the basis for the construction of ontologies of employment processes
- Quinn, J.B. The intelligent enterprise a new paradigm/ Quinn, J.B. //The Executive, 6(4).- 1992- pp.48-63.
- Markus J. Thannhuber. The Intelligent Enterprise: Theo-retical Concepts and Practical Implications / Markus J. Thannhuber.- Physica Verlag.-2005. p.142.
- Ogiela, L. Cognitive systems for intelligent business information management in cognitive economy/ Ogiela, Lidia, and Marek R. Ogiela//International Journal of In-formation Management 34.6.- 2014.-pp 751-760.
- García-Martínez, Ramón. Information mining processes based on intelligent systems/ García-Martínez, Ramón, Paola Britos and Dario Rodríguez.//International Confer-ence on Industrial, Engineering and Other Applications of Applied Intelligent Systems/.-Springer Berlin Heidelberg.- 2013.
- Melyara. Mezzi, Nadjia. Benblidia Study of Context Modelling Criteria in Information Retrieval - I.J. Infor-mation Technology and Computer Science, 2017, 3, 28-39 Published Online March 2017 in MECS (http://www.mecs-press.org/) DOI:10.5815/ijitcs.2017.03.04
- Gruber T.R. A translation approach to portable ontology specification/ Gruber T.R. //Knowledge Acquisition, vol 5, 1993 - 199-220
- Salah Alkhafaji,B. Sriram Conceptualization and Integra-tion of Information Systems in Educational Business Ac-tivities - I.J. Information Engineering and Electronic Business, 2013, 2, 28-33 Published Online August 2013 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijieeb.2013.02.05
- Y. Burov. Business process modelling using ontological task models./Burov Y//Econtechmod. - Lublin: Polish academy of sciences. - 2014. - №1. - P.11-23
- Olive, A. Conceptional Modeling of Information Systems. / Olive Antony. - Springer Berlin Heidelberg, 2007. - P. 471.
- Gómez-Pérez, Asunción. Ontology evaluation. /Gómez-Pérez, Asunción //Handbook on ontologies.-Springer Ber-lin Heidelberg. - 2004. -pp. 251-273.
- Burov E. Complex ontology management using task models /Burov E//International Journal of Knowledge-based and Intelligent Engineering Systems. - Amsterdam: IOS Press. - 2014. - Vol 18, no 2. - P. 111-120.
- C.Toro. Building Domain Ontologies from Engineering Standards/ C.Toro, J.Vaquero, M.Grana, C.Sanin, E.Szczerbicki, J.Posada//Cybernetics and Systems: An In-ternational Journal.-2012.-pp.114-126.
- Bazire, M., July. Understanding context before using it. / Bazire, M., Brézillon P / Proceedings of International and Interdisciplinary Conference on Modeling and Using Context.- Springer Berlin Heidelberg, 2005.- P. 29-40.
- Prem Nath Context-Sensitive Grammars and Linear-Bounded Automata - I. J. Computer Network and Infor-mation Security, 2016, 1, 61-66 Published Online January 2016 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijcnis.2016.01.08
- Smirnov A.V. Models of Context-Managed Decision Support Systems in Dynamic Structured Regions / Smirnov A.V., Levashova T.V., Pashkin M.P. // Proceed-ings of SPIIRAN. - 2009. - №9. - P.116-147.
- Juan Ye. Situation identification techniques in pervasive computing: A review./Juan Ye, Simon Dobson, and Susan McKeever//Pervasive and Mobile Computing.- 2011
- I. Zavuschak, Z. Rybchak, I. Zheliznyak. Analysis of Clustering Algorithms - Advances in Soft Computing. Book Series of “Advances in Intelligent Systems and Computing”, ISSN 2194-5357. Springer International Publishing AG 2017. Germany
- Kharchenko Y. Recommendations for servicing the popu-lation and employers by specialists of the employment service / Y. Kharchenko // State Employment Center. - Kyiv 2014
- Usha Yadav, Gagandeep Singh Narula, Neelam Duhan, Vishal Jain Ontology Engineering and Development As-pects: A Survey - I.J. Education and Management Engi-neering, 2016, 3, 9-19 Published Online May 2016 in MECS (http://www.mecs-press.net) DOI: 10.5815/ijeme.2016.03.02
