Skip to main content
SpringerLink
Log in

Data Governance, a Knowledge Model Through Ontologies

  • Conference paper
  • First Online:
Technologies and Innovation (CITI 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1460))

Included in the following conference series:

Abstract

Ontologies have emerged as a powerful tool for sharing knowledge, due to their ability to integrate them. A key challenge is the interoperability of data sources that do not have a common schema and that were collected, processed and analyzed under different methodologies. Data governance defines policies, organization and standards. Data governance focused on integration processes helps to define what is integrated, who does it and how it is integrated. The representation of this integration process implies that not only the elements involved in the integration of metadata and their data sets need to be represented, but also elements of coordination between people and knowledge domains need to be included. This paper shows the ontology that describes the data governance processes, the elements that make it up and their relationships. For its development, the methodology based on competency questions and definition of terms is used. The data governance ontology creates a context to support the interaction of different data sources. The ontology is instantiated by means of a case study for Data Governance in Mining Inspection for the Geology and Mining Service of the Chilean government.

This project was supported by the Mining Management of Sernageomin through the 0 Accidents project.

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 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
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

References

  1. Abraham, R., Schneider, J., Vom Brocke, J.: Data governance: a conceptual framework, structured review, and research agenda. Int. J. Inf. Manage. 49, 424–438 (2019)

    Article  Google Scholar 

  2. Alkhamisi, A.O., Saleh, M.: Ontology opportunities and challenges: discussions from semantic data integration perspectives. In: 2020 6th Conference on Data Science and Machine Learning Applications (CDMA), pp. 134–140. IEEE (2020)

    Google Scholar 

  3. Ball, A.: Review of data management lifecycle models. Citeseer (2012)

    Google Scholar 

  4. Blumauer, A., Nagy, H., Nagy, H.: The Knowledge Graph Cookbook. Edition mono/monochrom (2020)

    Google Scholar 

  5. Brennan, R., Quigley, S., De Leenheer, P., Maldonado, A.: Automatic extraction of data governance knowledge from slack chat channels. In: Panetto, H., Debruyne, C., Proper, H.A., Ardagna, C.A., Roman, D., Meersman, R. (eds.) OTM 2018. LNCS, vol. 11230, pp. 555–564. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02671-4_34

    Chapter  Google Scholar 

  6. Calvanese, D., De Giacomo, G., Lembo, D., Montali, M., Santoso, A.: Ontology-Based governance of data-aware processes. In: Krötzsch, M., Straccia, U. (eds.) RR 2012. LNCS, vol. 7497, pp. 25–41. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33203-6_4

    Chapter  Google Scholar 

  7. Chromiak, M., Grabowiecki, M.: Heterogeneous data integration architecture-challenging integration issues. Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica 15(1), 7–11 (2015)

    Google Scholar 

  8. DeStefano, R., Tao, L., Gai, K.: Improving data governance in large organizations through ontology and linked data. In: 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud), pp. 279–284. IEEE (2016)

    Google Scholar 

  9. Gandomi, A., Haider, M.: Beyond the hype: big data concepts, methods, and analytics. Int. J. Inf. Manage. 35(2), 137–144 (2015)

    Article  Google Scholar 

  10. Grüninger, M., Fox, M.S.: Methodology for the design and evaluation of ontologies (1995)

    Google Scholar 

  11. Ladley, J.: Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program. Academic Press, Cambridge (2019)

    Google Scholar 

  12. Lee, S.U., Zhu, L., Jeffery, R.: Designing data governance in platform ecosystems. In: Proceedings of the 51st Hawaii International Conference on System Sciences (2018)

    Google Scholar 

  13. Mosley, M., Brackett, M.H., Earley, S., Henderson, D.: DAMA guide to the data management body of knowledge. Technics Publications (2010)

    Google Scholar 

  14. Motik, B., et al.: OWL 2 web ontology language: structural specification and functional-style syntax. W3C Recommendation 27(65), 159 (2009)

    Google Scholar 

  15. Parsia, B., Patel-Schneider, P., Motik, B.: OWL 2 web ontology language structural specification and functional-style syntax. W3C, W3C Recommendation (2012)

    Google Scholar 

  16. Solanki, M., Božić, B., Freudenberg, M., Kontokostas, D., Dirschl, C., Brennan, R.: Enabling combined software and data engineering at web-scale: the ALIGNED suite of ontologies. In: Groth, P., et al. (eds.) ISWC 2016. LNCS, vol. 9982, pp. 195–203. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46547-0_21

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Inria Chile Research Center, Av. Apoquindo 2827, Las Condes, Santiago, Chile

    Ana Muñoz, Luis Martí & Nayat Sanchez-Pi

Authors
  1. Ana Muñoz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Luis Martí
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nayat Sanchez-Pi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ana Muñoz .

Editor information

Editors and Affiliations

  1. Universidad de Murcia, Espinardo, Spain

    Rafael Valencia-García

  2. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Martha Bucaram-Leverone

  3. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Javier Del Cioppo-Morstadt

  4. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Néstor Vera-Lucio

  5. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Emma Jácome-Murillo

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Muñoz, A., Martí, L., Sanchez-Pi, N. (2021). Data Governance, a Knowledge Model Through Ontologies. In: Valencia-García, R., Bucaram-Leverone, M., Del Cioppo-Morstadt, J., Vera-Lucio, N., Jácome-Murillo, E. (eds) Technologies and Innovation. CITI 2021. Communications in Computer and Information Science, vol 1460. Springer, Cham. https://doi.org/10.1007/978-3-030-88262-4_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-88262-4_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88261-7

  • Online ISBN: 978-3-030-88262-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation