Table of Contents
Advances in Software Engineering
Volume 2012 (2012), Article ID 247592, 13 pages
http://dx.doi.org/10.1155/2012/247592
Research Article

Metadata for Approximate Query Answering Systems

Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Via Orabona 4, 70125 Bari, Italy

Received 30 January 2012; Revised 5 June 2012; Accepted 23 June 2012

Academic Editor: Gerardo Canfora

Copyright © 2012 Francesco Di Tria et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Poole, D. Chang, D. Tolbert, and D. Mellor, Common Warehouse Metamodel, John Wiley & Sons, 2002.
  2. A. Sen, “Metadata management: past, present and future,” Decision Support Systems, vol. 37, no. 1, pp. 151–173, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. Object Management Group, “Common Warehouse Metamodel Specification,” vers. 1.1, vol. 1, OMG, Needham, MA, USA, 2003, http://www.omg.org/docs/formal/03-03-02.pdf.
  4. Object Management Group, “XML Metadata Interchange (XMI) Specification,” vers. 2.0, OMG, Needham, MA USA, 2003, http://www.omg.org/docs/formal/03-05-02.pdf.
  5. S. Chaudhuri, U. Dayal, and V. Ganti, “Database technology for decision support systems,” Computer, vol. 34, no. 12, pp. 48–55, 2001. View at Publisher · View at Google Scholar · View at Scopus
  6. F. Di Tria, E. Lefons, and F. Tangorra, “Metrics for approximate query engine evaluation,” in Proceedings of the 27th ACM Symposium on Applied Computing (ACM SAC ’12), pp. 885–887, Riva del Garda, Italy, 2012.
  7. S. Acharya, P. B. Gibbons, V. Poosala, and S. Ramaswamy, “The AQUA approximate query answering system,” in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 574–576, Philadelphia, PA, USA, 1999.
  8. A. Gupta, V. Harinarayan, and D. Quaas, “Aggregate-query processing in data warehousing environments,” in Proceedings of the 21th International Conference on Very Large Data Bases (VLDB ’95), pp. 358–369, Zurich, Switzerland, 1995.
  9. K. Chakrabarti, M. Garofalakis, R. Rastogi, and K. Shim, “Approximate query processing using wavelets,” The International Journal on Very Large Data Bases, vol. 10, no. 2-3, pp. 199–223, 2001. View at Google Scholar · View at Scopus
  10. Y. Ioannidis and V. Poosala, “Histogram-based approximation of set-valued query answers,” in Proceedings of the 25th International Conference on Very Large Data Bases (VLDB '99), pp. 174–185, Edinburgh, Scotland, 1999.
  11. P. B. Gibbons and Y. Matias, “New sampling-based summary statistics for improving approximate query answers,” in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 331–342, Seattle, Wash, USA, 1998.
  12. E. Lefons, A. Merico, and F. Tangorra, “Analytical profile estimation in database systems,” Information Systems, vol. 20, no. 1, pp. 1–20, 1995. View at Google Scholar · View at Scopus
  13. J. Spiegel and N. Polyzotis, “TuG synopses for approximate query answering,” ACM Transactions on Database Systems, vol. 34, no. 1, article 3, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. J. B. Peltzer, A. M. Teredesai, and G. Reinard, “AQUAGP: approximate query answers using genetic programming,” in Proceedings of the 9th European Conference (EuroGP '06), pp. 49–60, Budapest, Hungary, April 2006.
  15. C. Jermaine, S. Arumugam, A. Pol, and A. Dobra, “Scalable approximate query processing with the DBO engine,” ACM Transactions on Database Systems, vol. 33, no. 4, article 23, 2008. View at Publisher · View at Google Scholar · View at Scopus
  16. Object Management Group, “XML MetaObject Facility Specification,” vers. 1.4, OMG, Needham, MA USA, 2002, http://www.omg.org/docs/formal/02-04-03.pdf.
  17. C. dell’Aquila, F. Di Tria, E. Lefons, and F. Tangorra, “Data reduction for data analysis,” in New Aspects on Computing Research, C. Cepisca, G. A. Kouzaev, and N. E. Mastorakis, Eds., pp. 204–210, 2008. View at Google Scholar
  18. F. Di Tria, E. Lefons, and F. Tangorra, “Hybrid methodology for data warehouse conceptual design by UML schemas,” Information and Software Technology, vol. 54, no. 4, pp. 360–379, 2012. View at Google Scholar
  19. F. Di Tria, E. Lefons, F. Tangorra, and M. M. GrHy, “GrHyMM: a graph-oriented hybrid multidimensional model,” in Proceedings of the Advances in Conceptual Modeling. Recent Developments and New Directions, pp. 86–97, Springer, Brussels, Belgium, 2011.
  20. D. Marco, Building and Managing the Meta Data Repository, Wiley, 2000.
  21. A. Tannenbaum, Metadata Solutions, Addison-Wesley, 2002.
  22. E. Bertino and L. Martino, “Object-oriented database management systems: concepts and issues,” Computer, vol. 24, no. 4, pp. 33–47, 1991. View at Publisher · View at Google Scholar · View at Scopus
  23. K. Schlegel and B. Sood, Business Intelligence Platform Capability Matrix, Gartner Research, 2007.
  24. F. Yan, W. C. Hou, Z. Jiang, C. Luo, and Q. Zhu, “Selectivity estimation of range queries based on data density approximation via cosine series,” Data & Knowledge Engineering, vol. 63, no. 3, pp. 855–878, 2007. View at Publisher · View at Google Scholar · View at Scopus
  25. T. Palpanas, P. Chowdhary, F. Pinel, and G. Mihaila, “Integrated model-driven dashboard development,” Information Systems Frontiers, vol. 9, no. 2-3, pp. 195–208, 2007. View at Publisher · View at Google Scholar · View at Scopus