Skip to main content
SpringerLink
Log in

Zooming in on Competences in Ontology-Based Enterprise Architecture Modeling

  • Conference paper
  • First Online:
Enterprise Design, Operations, and Computing. EDOC 2022 Workshops (EDOC 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 466))

Abstract

Organizations must pay close attention to human resource development in order to be successful. Because of this, competence-based approaches have received increased attention, as the demand for qualified people with the right combination of competences establishes itself as a major factor of organizational performance. This paper examines how competences can be incorporated into Enterprise Architecture modeling: (i) we identify a key set of competence-related concepts such as skills, knowledge, and attitudes, (ii) analyze and relate them using a reference ontology (grounded on the Unified Foundational Ontology), and (iii) propose a representation strategy for modeling competences and their constituent elements leveraging the ArchiMate language, discussing how the proposed models can fit in enterprise competence-based practices.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    We adopt in this work the term “competence” to refer to an individual’s performative ability, and refrain from using the term “competency”.

References

  1. Altmann, T.K.: Attitude: a concept analysis. In: Nursing forum. vol. 43, pp. 144–150. Wiley Online Library (2008). https://doi.org/10.1111/j.1744-6198.2008.00106.x

  2. Azevedo, C.L.B., Almeida, J.P.A., van Sinderen, M., Quartel, D., Guizzardi, G.: An Ontology-Based Semantics for the Motivation Extension to ArchiMate. In: 15th IEEE Int. EDOC Conference. pp. 1–10. IEEE (2011). https://doi.org/10.1109/EDOC.2011.29

  3. Azevedo, C.L.B., Iacob, M., Almeida, J.P.A., van Sinderen, M., Pires, L.F., Guizzardi, G.: Modeling resources and capabilities in enterprise architecture: A well-founded ontology-based proposal for ArchiMate. Inf. Syst. 54, 235–262 (2015). https://doi.org/10.1016/j.is.2015.04.008

    Article  Google Scholar 

  4. Brown, J.S.: Learning in the digital age. In: The Internet and the university: Forum. vol. 71, p. 72 (2001)

    Google Scholar 

  5. Calhau, R.F., Azevedo, C.L.B., Almeida, J.P.A.: Towards Ontology-based Competence Modeling in Enterprise Architecture. In: 25th IEEE Int. EDOC Conference (EDOC 2021). IEEE (2021). https://doi.org/10.1109/edoc52215.2021.00018

  6. Choi, S., Fara, M.: Dispositions. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy. Metaphysics Research Lab, Stanford University, Spring 2021 edn. (2021)

    Google Scholar 

  7. Draganidis, F., Chamopoulou, P., Mentzas, G.: A semantic web architecture for integrating competence management and learning paths. J. Knowl. Manag. 12(6), 121–136 (2008). https://doi.org/10.1108/13673270810913667

    Article  Google Scholar 

  8. Draganidis, F., Mentzas, G.: Competency based management: a review of systems and approaches. Inf. Manag. Comput. Secur. 14(1), 51–64 (2006). https://doi.org/10.1108/09685220610648373

    Article  Google Scholar 

  9. Esposto, A.: Skill: An elusive and ambiguous concept in labour market studies. Australian Bulletin of Labour 34(1), 100–124 (2008), https://EconPapers.repec.org/RePEc:fli:journl:26132

  10. Gangani, N., McLean, G.N., Braden, R.A.: A competency-based human resource development strategy. Perform. Improv. Q. 19(1), 127–139 (2006)

    Article  Google Scholar 

  11. Griffo, C., Almeida, J.P.A., Guizzardi, G.: Conceptual Modeling of Legal Relations. In: 37th Int. Conf. Conceptual Modeling (ER 2018). Lecture Notes in Computer Science, vol. 11157, pp. 169–183. Springer (2018). https://doi.org/10.1007/978-3-030-00847-5_14

  12. Guizzardi, G., Wagner, G., Almeida, J.P.A., Guizzardi, R.S.S.: Towards ontological foundations for conceptual modeling: The unified foundational ontology (UFO) story. Applied Ontology (Online) 10, 259–271 (2015). https://doi.org/10.3233/AO-150157

    Article  Google Scholar 

  13. Guizzardi, G.: Ontological Foundations for Structural Conceptual Models. No. 15 in Telematica Instituut Fundamental Research Series, Telematica Instituut, The Netherlands (2005)

    Google Scholar 

  14. Guizzardi, G., Wagner, G.: Towards ontological foundations for agent modelling concepts using the unified fundational ontology (UFO). In: Agent-Oriented Information Systems II, pp. 110–124. Springer, Berlin Heidelberg (2005). https://doi.org/10.1007/11426714_8

  15. HR-XML Consortium: Competencies 1.0 (measurable characteristics) recommendation 2001-oct-16 (2016), http://xml.coverpages.org/HR-XML-Competencies-1_0.pdf

  16. Ichikawa, J.J., Steup, M.: The Analysis of Knowledge. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy. Metaphysics Research Lab, Stanford University, Summer 2018 edn. (2018)

    Google Scholar 

  17. Le Deist, F., Winterton, J.: What is competence? Hum. Resour. Dev. Int. 8(1), 27–46 (2005). https://doi.org/10.1080/1367886042000338227

    Article  Google Scholar 

  18. Maze, J.R.: The concept of attitude. Inquiry 16(1–4), 168–205 (1973). https://doi.org/10.1080/00201747308601684

    Article  Google Scholar 

  19. Messick, S.: The psychology of educational measurement. J. Educ. Meas. 21(3), 215–237 (1984). https://doi.org/10.1111/j.1745-3984.1984.tb01030.x

    Article  Google Scholar 

  20. Miranda, S., Orciuoli, F., Loia, V., Sampson, D.: An ontology-based model for competence management. Data & Knowledge Engineering 107, 51–66 (2017). https://doi.org/10.1016/j.datak.2016.12.001

    Article  Google Scholar 

  21. Molnar, G., Bradley, N.: Powers: A study in metaphysics. Clarendon Press (2003)

    Google Scholar 

  22. Mumford, S., Anjum, R.: Getting Causes from Powers. Oxford University Press (2011)

    Google Scholar 

  23. Nardi, J.C.: A Commitment-based Reference Ontology for Service: Harmonizing Service Perspectives. Ph.D. thesis, Federal Univ. of Espírito Santo (2014)

    Google Scholar 

  24. Paquette, G.: An ontology and a software framework for competency modeling and management. Educational Technology and Society 10(3), 1–21 (2007), http://www.ifets.info/journals/10_3/1.pdf

  25. Rezgui, K., Mhiri, H.: Modeling competencies in competency-based learning: Classification and cartography. In: 2018 JCCO Joint Intl Conf ICT in Education and Training, Intl Conf Computing in Arabic, and Intl Conf Geocomputing (JCCO: TICET-ICCA-GECO). IEEE (Nov 2018). https://doi.org/10.1109/icca-ticet.2018.8726208

  26. Rodrigues, M., Fernández-Macías, E., Sostero, M.: A unified conceptual framework of tasks, skills and competences. Tech. rep., JRC Working Papers Series on Labour, Education and Technology (2021)

    Google Scholar 

  27. Rodriguez, D., Patel, R., Bright, A., Gregory, D., Gowing, M.K.: Developing competency models to promote integrated human resource practices. Hum. Resour. Manage. 41(3), 309–324 (2002). https://doi.org/10.1002/hrm.10043

    Article  Google Scholar 

  28. Sampson, D., Fytros, D.: Competence models in technology-enhanced competence-based learning. In: Handbook on Information Technologies for Education and Training, pp. 155–177. Springer, Berlin Heidelberg (2008). https://doi.org/10.1007/978-3-540-74155-8_9

  29. Westera, W.: Competences in education: A confusion of tongues. J. Curric. Stud. 33(1), 75–88 (2001). https://doi.org/10.1080/00220270120625

    Article  Google Scholar 

  30. Wood, R., Power, C.: Aspects of the competence-performance distinction: Educational, psychological and measurement issues. J. Curric. Stud. 19(5), 409–424 (1987). https://doi.org/10.1080/0022027870190503

    Article  Google Scholar 

  31. Zaouga, W., Rabai, L.B.A., Alalyani, W.R.: Towards an ontology based-approach for human resource management. Procedia Computer Science, vol. 151, pp. 417–424. Elsevier (2019). https://doi.org/10.1016/j.procs.2019.04.057

Download references

Acknowledgment

This study was supported in part by CNPq (313687/2020-0), FAPES (281/2021) and the DSYNE INTPART network (Research Council of Norway project number 309404).

Author information

Authors and Affiliations

  1. Ontology & Conceptual Modeling Research Group (NEMO), Federal University of Espírito Santo (UFES), Vitória, Brazil

    Rodrigo F. Calhau & João Paulo A. Almeida

  2. LEDS Research Group, Federal Insitute of Espírito Santo (IFES), Serra, Brazil

    Rodrigo F. Calhau

Authors
  1. Rodrigo F. Calhau
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. João Paulo A. Almeida
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rodrigo F. Calhau .

Editor information

Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Tiago Prince Sales

  2. TU Wien, Vienna, Austria

    Henderik A. Proper

  3. University of Twente, Enschede, The Netherlands

    Giancarlo Guizzardi

  4. Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Marco Montali

  5. Free University of Bozen-Bolzano, Bolzano, Italy

    Fabrizio Maria Maggi

  6. University of Twente, Enschede, The Netherlands

    Claudenir M. Fonseca

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Calhau, R.F., Almeida, J.P.A. (2023). Zooming in on Competences in Ontology-Based Enterprise Architecture Modeling. In: Sales, T.P., Proper, H.A., Guizzardi, G., Montali, M., Maggi, F.M., Fonseca, C.M. (eds) Enterprise Design, Operations, and Computing. EDOC 2022 Workshops . EDOC 2022. Lecture Notes in Business Information Processing, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-26886-1_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-26886-1_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26885-4

  • Online ISBN: 978-3-031-26886-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation