Skip to main content

Semantic Enrichment of OLAP Cubes: Multi-dimensional Ontologies and Their Representation in SQL and OWL

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8185))

Abstract

A multi-dimensional ontology (MDO) enriches an OLAP cube with concepts that represent business terms in the context of data analysis. The formal representation of the meaning of business terms facilitates the unambiguous interpretation of query results as well as the sharing of knowledge among business analysts. In contrast to traditional ontologies, an MDO captures the multi-dimensional, hierarchical world view of business analysts. In this paper, we introduce a translation of MDO concepts to SQL in order to allow for the querying of a closed-world OLAP cube. We introduce a representation in OWL in order to determine subsumption hierarchies of MDO concepts using off-the-shelf reasoners.

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

Buying options

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 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Querying Dimensional Objects, Oracle OLAP User’s Guide, 11g Release 2 (2010), http://docs.oracle.com/cd/E11882_01/olap.112/e17123/query.htm

  2. 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)

    Google Scholar 

  3. Berlanga, R., Romero, O., Simitsis, A., Nebot, V., Pedersen, T.B., Abello, A., Aramburu, M.J.: Semantic web technologies for business intelligence (2011)

    Google Scholar 

  4. Buchheit, M., Nutt, W., Donini, F.M., Schaerf, A.: Refining the structure of terminological systems: Terminology = schema + views. In: Hayes-Roth, B., Korf, R.E. (eds.) AAAI, pp. 199–204. AAAI Press/The MIT Press (1994)

    Google Scholar 

  5. Calvanese, D., Giacomo, G.D., Lembo, D., Lenzerini, M., Poggi, A., Rodriguez-Muro, M., Rosati, R., Ruzzi, M., Savo, D.F.: The MASTRO system for ontology-based data access. Semantic Web 2(1), 43–53 (2011)

    Google Scholar 

  6. Horridge, M., Bechhofer, S.: The OWL API: A Java API for OWL ontologies. Semantic Web 2(1), 11–21 (2011)

    Google Scholar 

  7. Khouri, S., Bellatreche, L.: DWOBS: Data warehouse design from ontology-based sources. In: Yu, J.X., Kim, M.H., Unland, R. (eds.) DASFAA 2011, Part II. LNCS, vol. 6588, pp. 438–441. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  8. Lim, L., Wang, H., Wang, M.: Unifying data and domain knowledge using virtual views. In: VLDB, pp. 255–266 (2007)

    Google Scholar 

  9. Motik, B., Horrocks, I., Sattler, U.: Bridging the gap between OWL and relational databases. Journal of Web Semantics 7(2), 74–89 (2009)

    Article  Google Scholar 

  10. Nebot, V., Llavori, R.B.: Building data warehouses with semantic web data. Decision Support Systems 52(4), 853–868 (2012)

    Article  Google Scholar 

  11. Neuböck, T., Neumayr, B., Rossgatterer, T., Anderlik, S., Schrefl, M.: Multi-dimensional navigation modeling using BI Analysis Graphs. In: Castano, S., Vassiliadis, P., Lakshmanan, L.V., Lee, M.L. (eds.) ER Workshops 2012. LNCS, vol. 7518, pp. 162–171. Springer, Heidelberg (2012)

    Google Scholar 

  12. Neumayr, B., Anderlik, S., Schrefl, M.: Towards ontology-based olap: datalog-based reasoning over multidimensional ontologies. In: Song, I.Y., Golfarelli, M. (eds.) DOLAP, pp. 41–48. ACM (2012)

    Google Scholar 

  13. 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 2011 Workshops. LNCS, vol. 6999, pp. 55–64. Springer, Heidelberg (2011)

    Google Scholar 

  14. Pardillo, J., Mazón, J.N.: Using ontologies for the design of data warehouses. International Journal of Database Management Systems 3(2), 73–87 (2011)

    Article  Google Scholar 

  15. Romero, O., Abelló, A.: A framework for multidimensional design of data warehouses from ontologies. Data Knowledge Engineering 69(11), 1138–1157 (2010)

    Article  Google Scholar 

  16. Shearer, R., Motik, B., Horrocks, I.: HermiT: A highly-efficient OWL reasoner. In: Dolbear, C., Ruttenberg, A., Sattler, U. (eds.) OWLED 2008. CEUR Workshop Proceedings, vol. 432. CEUR-WS.org (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Neumayr, B., Schütz, C., Schrefl, M. (2013). Semantic Enrichment of OLAP Cubes: Multi-dimensional Ontologies and Their Representation in SQL and OWL. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2013 Conferences. OTM 2013. Lecture Notes in Computer Science, vol 8185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41030-7_46

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41030-7_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41029-1

  • Online ISBN: 978-3-642-41030-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics