Skip to main content

Conceptual Model of the BIA Data Warehouse

  • Conference paper
  • First Online:
Enterprise and Organizational Modeling and Simulation (EOMAS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 298))

Included in the following conference series:

  • 451 Accesses

Abstract

The present article delineates the primary conceptual model of a data warehouse system which is aimed for enterprise business impact analysis. Currently, since the model is in its preliminary stage, only the classification of critical business functions is present in the conceptual schema. Apart from the conceptual model, the specific business impact analysis activity is illustrated using the Business Object Relation Modelling approach, which is ideal for business process requirement analysis. The current conceptual schema will be used as a guide for constructing the future complete meta-model, as well as a logical schema regarding the specific business intelligence solution.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Brás, J., Guerreiro, S.: Designing business continuity processes using DEMO. In: Pergl, R., Molhanec, M., Babkin, E., Fosso Wamba, S. (eds.) EOMAS 2016. LNBIP, vol. 272, pp. 154–171. Springer, Cham (2016). doi:10.1007/978-3-319-49454-8_11

    Chapter  Google Scholar 

  2. Caelli, W.J., Kwok, L.-F., Longley, D.: A business continuity management simulator. In: Rannenberg, K., Varadharajan, V., Weber, C. (eds.) SEC 2010. IAICT, vol. 330, pp. 9–18. Springer, Heidelberg (2010). doi:10.1007/978-3-642-15257-3_2

    Chapter  Google Scholar 

  3. Ceusters, W., Smith, B.: Foundations for a realist ontology of mental disease. J. Biomed. Semant. 1, 10 (2010)

    Article  Google Scholar 

  4. Engemann, K.J., Henderson, D.M.: Business Continuity and Risk Management: Essentials for an Organizational Resilience. Rothstein Associates Inc., Connecticut (2012)

    Google Scholar 

  5. Fernández-López, M., Gómez-Pérez, A., Juristo, N.: METHONTOLOGY: from ontological art towards ontological engineering. In: Spring Symposium on Ontological Engineering of AAAI, pp. 33–40. Stanford University, California (1997)

    Google Scholar 

  6. Gallagher, A.J.: Critical business functions checklist (2014). https://www.ajg.com/media/1329771/Critical-Business-Functions.pdf

  7. Gallagher, M.: Business Continuity Management - How to Protect Your Company from Danger. Prentice Hall, London (2003)

    Google Scholar 

  8. Grolinger, K., Brown, K.P., Carpetz, M.A.M.: From glossaries to ontologies: disaster management domain. Electrical and Computer Engineering Publications, Paper 31 (2011). http://ir.lib.uwo.ca/electricalpub/31

  9. Gibson, D.: Managing Risks in Information Systems. Jones & Bartlett Learning, Sudbury (2011)

    Google Scholar 

  10. Hřebík, R., Merunka, V., Kosejková, Z., Kupka, P.: Object-oriented conceptual modeling and simulation of health care processes. In: Barjis, J., Pergl, R., Babkin, E. (eds.) EOMAS 2015. LNBIP, vol. 231, pp. 49–60. Springer, Cham (2015). doi:10.1007/978-3-319-24626-0_4

    Chapter  Google Scholar 

  11. Karner, G.: ‘Resource estimation for objectory projects,’ systems SF AB (1993). http://www.bfpug.com.br/Artigos/UCP/Karner%20-%20Resource%20Estimation%20for%20Objectory%20Projects.doc. Accessed 20 April 2013

  12. Kruchten, P., Woo, C., Monu, K., Sotoodeh, M.: A human-centered conceptual model of disasters affecting critical infrastructures. In: Paper presented at the Intelligent Human Computer Systems for Crisis Response and Management, Netherlands (2007)

    Google Scholar 

  13. Merunka, V.: Instance-level modeling and simulation using lambda-calculus and object-oriented environments. In: Barjis, J., Eldabi, T., Gupta, A. (eds.) EOMAS 2011. LNBIP, vol. 88, pp. 145–158. Springer, Heidelberg (2011). doi:10.1007/978-3-642-24175-8_11

    Chapter  Google Scholar 

  14. Merunka, V., Nouza, O., Brožek, J.: Automated model transformations using the C.C language. In: Dietz, Jan L.G., Albani, A., Barjis, J. (eds.) CIAO!/EOMAS -2008. LNBIP, vol. 10, pp. 137–151. Springer, Heidelberg (2008). doi:10.1007/978-3-540-68644-6_10

    Chapter  Google Scholar 

  15. Molhanec, M., Merunka, V.: BORM – Agile Modelling for Business Intelligence. IGI Global, Pennsylvania (2012)

    Google Scholar 

  16. Nedvedova, K.: Flood protection in historical towns. In: Sustainable development, vol. 168. WIT Press, Southampton (2015)

    Google Scholar 

  17. Podaras, A.: A non-arbitrary method for estimating IT business function recovery complexity via software complexity. In: Aveiro, D., Pergl, R., Valenta, M. (eds.) EEWC 2015. LNBIP, vol. 211, pp. 144–159. Springer, Cham (2015). doi:10.1007/978-3-319-19297-0_10

    Chapter  Google Scholar 

  18. Roussey, C., Pinet, F., Kang, M.A., Corcho, O.: Ontologies in urban development projects. In: Falquet, G., et al. (eds.) Advanced Information and Knowledge Processing, vol. 1, pp. 9–38. Springer, London (2011). doi:10.1007/978-0-85729-724-2

  19. Smith, B., Kusnierczyk, W., Schober, D., Ceusters, W.: Towards a reference terminology for ontology research and development in the biomedical domain. In: Proceedings of KR-MED Citeseer, pp. 57–65 (2006)

    Google Scholar 

  20. Starr, R.: Enterprise resilience: managing risk in the networked economy (2003). http://www.boozallen.com/content/dam/boozallen/media/file/Enterprise_Resilience_Report.pdf

  21. Sure, Y., Staab, S., Studer, R.: On-to-knowledge methodology (OTKM). In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. International Handbooks on Information Systems, pp. 117–132. Springer, Heidelberg (2004). doi:10.1007/978-3-540-24750-0_6

  22. Uhnák, P., Pergl, R.: The OpenPonk modeling platform. In: Proceedings of the 11th Edition of the International Workshop on Smalltalk Technologies, pp. 1–12. ACM, New York (2016)

    Google Scholar 

  23. Studer, R., Benjamins, R., Fensel, D.: Knowledge engineering: principles and methods. Data Knowl. Eng. 25(1-2), 161–197 (1998)

    Google Scholar 

  24. Vaisman, A., Zimányi, E.: Data Warehouse Systems: Design and Implementation. Data-Centric Systems and Applications. Springer, Heidelberg (2014). doi:10.1007/978-3-642-54655-6

    Book  Google Scholar 

  25. Walisadeera, A.I., Ginige, A., Wikramanayake, G.N.: Ontology evaluation approaches: a case study from agriculture domain. In: Gervasi, O., et al. (eds.) ICCSA 2016. LNCS, vol. 9789, pp. 318–333. Springer, Cham (2016). doi:10.1007/978-3-319-42089-9_23

    Chapter  Google Scholar 

  26. Rybola, Z., Pergl, R.: Towards OntoUML for software engineering: introduction to the transformation of OntoUML into relational databases. In: Pergl, R., Molhanec, M., Babkin, E., Fosso Wamba, S. (eds.) EOMAS 2016. LNBIP, vol. 272, pp. 67–83. Springer, Cham (2016). doi:10.1007/978-3-319-49454-8_5

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Athanasios Podaras .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Podaras, A. (2017). Conceptual Model of the BIA Data Warehouse. In: Pergl, R., Lock, R., Babkin, E., Molhanec, M. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2017. Lecture Notes in Business Information Processing, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-319-68185-6_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-68185-6_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68184-9

  • Online ISBN: 978-3-319-68185-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics