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Business Model Ontologies in OLAP Cubes

  • Christoph Schütz
  • Bernd Neumayr
  • Michael Schrefl
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7908)

Abstract

Business model ontologies capture the complex interdependencies between business objects. The analysis of the hence formalized knowledge eludes traditional OLAP systems which operate on numeric measures. Many real-world facts, however, do not boil down to a single number but are more accurately represented by business model ontologies. In this paper, we adopt business model ontologies for the representation of non-numeric measures in OLAP cubes. We propose modeling guidelines and adapt traditional OLAP operations for ontology-valued measures.

Keywords

Business Intelligence Business Modeling Resource-Event-Agent Resource Description Framework 

References

  1. 1.
    Geerts, G., McCarthy, W.: An ontological analysis of the economic primitives of the extended-REA enterprise information architecture. International Journal of Accounting Information Systems 3, 1–16 (2002)CrossRefGoogle Scholar
  2. 2.
    Gordijn, J., Akkermans, H., van Vliet, H.: Business modelling is not process modelling. In: Mayr, H.C., Liddle, S.W., Thalheim, B. (eds.) ER Workshops 2000. LNCS, vol. 1921, pp. 40–51. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  3. 3.
    Weigand, H., Johannesson, P., Andersson, B., Bergholtz, M., Edirisuriya, A., Ilayperuma, T.: On the notion of value object. In: Martinez, F.H., Pohl, K. (eds.) CAiSE 2006. LNCS, vol. 4001, pp. 321–335. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  4. 4.
    Elmasri, R., Navathe, S.: Fundamentals of database systems, 5th edn. Pearson International Edition. Addison Wesley, Boston (2007)Google Scholar
  5. 5.
    Carroll, J., Bizer, C., Hayes, P., Stickler, P.: Named graphs, provenance and trust. In: 14th International Conference on World Wide Web, pp. 613–622. ACM (2005)Google Scholar
  6. 6.
    Serafini, L., Homola, M.: Contextualized knowledge repositories for the semantic web. Web Semantics: Science, Services and Agents on the World Wide Web 12-13, 64–87 (2012)CrossRefGoogle Scholar
  7. 7.
    Hruby, P.: Model-driven design using business patterns. Springer, Heidelberg (2006)Google Scholar
  8. 8.
    Gailly, F., Laurier, W., Poels, G.: Positioning and formalizing the REA enterprise ontology. Journal of Information Systems 22(2), 219–248 (2008)CrossRefGoogle Scholar
  9. 9.
    Golfarelli, M., Maio, D., Rizzi, S.: The Dimensional Fact Model: a conceptual model for data warehouses. International Journal of Cooperative Information Systems 7(2-3), 215–247 (1998)CrossRefGoogle Scholar
  10. 10.
    Neumayr, B., Schrefl, M., Thalheim, B.: Hetero-homogeneous hierarchies in data warehouses. In: 7th Asia-Pacific Conference on Conceptual Modeling, pp. 61–70. Australian Computer Society, Darlinghurst (2010)Google Scholar
  11. 11.
    Jouault, F., Kurtev, I.: Transforming models with ATL. In: Bruel, J.-M. (ed.) MoDELS 2005. LNCS, vol. 3844, pp. 128–138. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  12. 12.
    Wimmer, M., Kappel, G., Kusel, A., Retschitzegger, W., Schoenboeck, J., Schwinger, W.: Surviving the heterogeneity jungle with composite mapping operators. In: Tratt, L., Gogolla, M. (eds.) ICMT 2010. LNCS, vol. 6142, pp. 260–275. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  13. 13.
    Schütz, C.: Extending data warehouses with hetero-homogeneous dimension hierarchies and cubes: A proof-of-concept prototype in Oracle. Master’s thesis, Johannes Kepler University Linz, Austria (2010)Google Scholar
  14. 14.
    Neumayr, B., Schrefl, M., Linner, K.: Semantic cockpit: An ontology-driven, interactive business intelligence tool for comparative data analysis. In: De Troyer, O., Bauzer Medeiros, C., Billen, R., Hallot, P., Simitsis, A., Van Mingroot, H. (eds.) ER Workshops 2011. LNCS, vol. 6999, pp. 55–64. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  15. 15.
    Jiang, L., Barone, D., Amyot, D., Mylopoulos, J.: Strategic models for business intelligence. In: Jeusfeld, M., Delcambre, L., Ling, T.-W. (eds.) ER 2011. LNCS, vol. 6998, pp. 429–439. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  16. 16.
    Barone, D., Topaloglou, T., Mylopoulos, J.: Business intelligence modeling in action: A hospital case study. In: Ralyté, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 502–517. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  17. 17.
    Nebot, V., Berlanga, R.: Building data warehouses with semantic web data. Decision Support Systems 52, 853–868 (2012)CrossRefGoogle Scholar
  18. 18.
    Anderlik, S., Neumayr, B., Schrefl, M.: Using domain ontologies as semantic dimensions in data warehouses. In: Atzeni, P., Cheung, D., Ram, S. (eds.) ER 2012. LNCS, vol. 7532, pp. 88–101. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  19. 19.
    O’Leary, D.E.: REAL-D: a schema for data warehouses. Journal of Information Systems 13(1), 49–62 (1999)CrossRefGoogle Scholar
  20. 20.
    Chen, C., Zhu, F., Yan, X., Han, J., Yu, P., Ramakrishnan, R.: InfoNetOLAP: OLAP and mining of information networks. In: Yu, P.S., Han, J., Faloutsos, C. (eds.) Link Mining: Models, Algorithms, and Applications, pp. 411–438. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  21. 21.
    Gordijn, J., Wieringa, R.: A value-oriented approach to e-business process design. In: Eder, J., Missikoff, M. (eds.) CAiSE 2003. LNCS, vol. 2681, pp. 390–403. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  22. 22.
    Pijpers, V., Gordijn, J.: e 3 forces: Understanding strategies of networked e 3 value constellations by analyzing environmental forces. In: Krogstie, J., Opdahl, A.L., Sindre, G. (eds.) CAiSE 2007 and WES 2007. LNCS, vol. 4495, pp. 188–202. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  23. 23.
    Barone, D., Jiang, L., Amyot, D., Mylopoulos, J.: Composite indicators for business intelligence. In: Jeusfeld, M., Delcambre, L., Ling, T.-W. (eds.) ER 2011. LNCS, vol. 6998, pp. 448–458. Springer, Heidelberg (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christoph Schütz
    • 1
  • Bernd Neumayr
    • 1
  • Michael Schrefl
    • 1
  1. 1.Johannes Kepler University LinzAustria

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