Abstract
Different sources (best practices, rules and customer requirements) can trigger the need for adapting changes into organizational processes. This paper presents an ontology-based matching process and architecture that can be used to discover discrepancies and similarities between actual and required operation in that the latter is detecting by processing dynamically varying documents. The SMART system was elaborated to investigate the compliance between job market expectations and educational offers. This system is a use case of this architecture.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
SMART project (Skill MAtching for Regional development-2012-1-ES1-LEO05-49395) LLP Leonardo da Vinci program. www.smart-project.org.
- 2.
ProKEX project: Integrated Platform for Process-based Knowledge Extraction. EUREKA Proj. No.: EUREKA_HU_12-1-2012-0039. http://prokex.netpositive.hu/.
References
Borbásné Szabó, I.: Design of Higher Education Portfolio, Ph.D. dissertation, Corvinus University of Budapest, Hungary (2012)
BrugesCommuniqué: The Bruges Communiqué on enhanced European Cooperation in Vocational Education and Training for the period 2011–2020 (2010). http://ec.europa.eu/education/lifelong-learning-policy/doc/vocational/bruges_en.pdf
Caballero, J.G., et al.: Developing and aligning competences in the tourism industry. the smart project experience. In: ICERI 2014 Proceedings, pp. 1013–1022 (2014)
Castello, V., et al.: Enhancing competences dynamic alignment between job and education. contributions and evidences from the smart project. In: ICERI 2014 Proceedings, pp. 1131–1139 (2014)
Castello, V., et al.: The skill match challenge. evidences from the smart project. In: ICERI 2014 Proceedings, pp. 1182–1189 (2014)
Cedefop: Skills supply and demand in Europa Methodological framework (2012). http://www.cedefop.europa.eu/EN/Files/5525_en.pdf
Choi, N., et al.: A survey on ontology mapping. SIGMOD Rec. 35, 34–41 (2006)
Ding, Y., Foo, S.: Ontology research and development. part 2 - a review of ontology mapping and evolving. J. Inf. Sci. 28(5), 375–388 (2002)
Ehrig, M., Sure, Y.: Ontology mapping – an integrated approach. In: Bussler, C.J., et al. (eds.) The Semantic Web: Research and Applications, pp. 76–91. Springer, Berlin Heidelberg (2004)
Futó, I., Gábor, A., Kovács, B., Kő, A.: Higher Education Portfolio Alignment with World of Labour Needs. In: Enrico, F., Jochen, S., Maria, A.W. (eds.) Electronic Government: 7th International Conference, EGOV 2008; Proceedings of Ongoing Research, Project Contributions and Workshops, pp. 265--272, Turin, 1–4 September 2008. (Schriftenreihe Informatik (Linz, Austria); 27)
Gábor, A., Szabó, Z.: Semantic technologies in business process management. In: Fathi, M. (ed.) Integration of Practice-Oriented Knowledge Technology Trends and Prospectives, pp. 17–28. Springer, Heidelberg (2013)
Gillani, S.A., Kő, A.: Process-based knowledge extraction in a public authority: a text mining approach. In: Kő, A., Francesconi, E. (eds.) EGOVIS 2014. LNCS, vol. 8650, pp. 91–103. Springer, Heidelberg (2014)
Kalfoglou, Y., Schorlemmer, M.: Ontology mapping: the state of the art. Knowl. Eng. Rev. 18(01), 1–31 (2003)
Kő, A., Ternai, K.: A development method for ontology based business processes. In: Cunningham, P., Cunningham, M. (eds.) eChallenges 2011: Conference and Exhibition, pp. 125--131, 26-28 October 2011 (ISBN:978-1-905824-27-4)
NeSkNeJo: New Skills for New Jobs. Policy initiatives in the field of education: Short overview of the current situation in Europe. EACEA: Accessed on 09 June 2015. http://eacea.ec.europa.eu/education/eurydice/documents/thematic_reports/125EN.pdf
Neusch, G., Gábor, A.: Prokex – integrated platform for process-based knowledge extraction. In: ICERI 2014 Proceedings, pp. 3972–3977 (2014)
Studio: Ontology Learning Driven Environment Accessed on 30 March 2015. http://www.corvinno.hu/web.nsf/do?open&lang=en&page=proj-studio
Su, X.: A text categorization perspective for ontology mapping: Position paper. 832256 (2002)
Szabó, I., Varga, K.: Knowledge-based compliance checking of business processes. In: Meersman, R., et al. (eds.) On the Move to Meaningful Internet Systems: OTM 2014 Conferences, pp. 597–611. Springer, Berlin Heidelberg (2014)
Ternai, K., Török, M., Varga, K.: Combining knowledge management and business process management – a solution for information extraction from business process models focusing on BPM Challenges. In: Kő, A., Francesconi, E. (eds.) EGOVIS 2014. LNCS, vol. 8650, pp. 104–117. Springer, Heidelberg (2014)
Vas, R.: Educational ontology and knowledge testing. Electron. J. Knowl. Manage. 5(1), 123–130 (2007)
Acknowledgment
The authors wish to express their gratitude to Dr. Andras Gabor, associate professor of the Corvinus University of Budapest, for the great topic and the powerful help provided during the development process.
“This work was conducted using the Protégé resource, which is supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes of Health.”
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Szabó, I., Neusch, G. (2015). Dynamic Skill Gap Analysis Using Ontology Matching. In: Kő, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2015. Lecture Notes in Computer Science, vol 9265. Springer, Cham. https://doi.org/10.1007/978-3-319-22389-6_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-22389-6_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22388-9
Online ISBN: 978-3-319-22389-6
eBook Packages: Computer ScienceComputer Science (R0)