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Supporting Database Provenance under Schema Evolution

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Advances in Conceptual Modeling (ER 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7518))

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Abstract

Database schema upgrades are common in modern information systems, where the provenance of the schema is of much interest, and actually required to explain the provenance of contents generated by the database conversion that is part of such upgrades. Thus, an integrated management for data and metadata is needed, and the Archived Metadata and Provenance Manager (AM&PM) system is the first to address this requirement by building on recent advances in schema mappings and database upgrade automation. Therefore AM&PM (i) extends the Information Schema with the capability of archiving the provenance of the schema and other metadata, (ii) provides a timestamp based representation for the provenance of the actual data, and (iii) supports powerful queries on the provenance of the data and on the history of the metadata. In this paper, we present the design and main features of AM&PM, and the results of various experiments to evaluate its performance.

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References

  1. California department of transofrmation-highway conditions, http://www.dot.ca.gov/hq/roadinfo

  2. Wikipedia:database download, http://en.wikipedia.org/wiki/Wikipedia:Database_download

  3. Alexe, B., Chiticariu, L., Tan, W.C.: Spider: a schema mapping debugger. In: VLDB, pp. 1179–1182 (2006)

    Google Scholar 

  4. Bose, R., Frew, J.: Lineage retrieval for scientific data processing: a survey. ACM Comput. Surv. 37(1), 1–28 (2005)

    Article  Google Scholar 

  5. Buneman, P., Khanna, S., Tan, W.-C.: Why and Where: A Characterization of Data Provenance. In: Van den Bussche, J., Vianu, V. (eds.) ICDT 2001. LNCS, vol. 1973, pp. 316–330. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  6. Buneman, P., Tan, W.C.: Provenance in databases. In: SIGMOD Conference, pp. 1171–1173 (2007)

    Google Scholar 

  7. Chiticariu, L., Tan, W.C.: Debugging schema mappings with routes. In: VLDB, pp. 79–90 (2006)

    Google Scholar 

  8. Curino, C., Zaniolo, C.: Pantha rhei benchmark datasets, http://yellowstone.cs.ucla.edu/schema-evolution/index.php/Benchmark_home

  9. Curino, C., Moon, H.J., Tanca, L., Zaniolo, C.: Schema evolution in wikipedia - toward a web information system benchmark. In: ICEIS, pp. 323–332 (2008)

    Google Scholar 

  10. Curino, C.A., Moon, H.J., Zaniolo, C.: Graceful database schema evolution: the prism workbench. Proc. VLDB Endow. 1(1), 761–772 (2008)

    Google Scholar 

  11. Curino, C.A., Moon, H.J., Deutsch, A., Zaniolo, C.: Update rewriting and integrity constraint maintenance in a schema evolution support system: Prism++. Proc. VLDB Endow. 4(2), 117–128 (2010)

    Google Scholar 

  12. Eisenberg, A., Melton, J., Kulkarni, K.G., Michels, J.-E., Zemke, F.: Sql: 2003 has been published. SIGMOD Record 33(1), 119–126 (2004)

    Article  Google Scholar 

  13. Green, T.J., Karvounarakis, G., Tannen, V.: Provenance semirings. In: PODS, pp. 31–40 (2007)

    Google Scholar 

  14. Ikeda, R., Salihoglu, S., Widom, J.: Provenance-based refresh in data-oriented workflows. In: CIKM, pp. 1659–1668 (2011)

    Google Scholar 

  15. Simmhan, Y.L., Plale, B., Gannon, D.: A survey of data provenance in e-science. SIGMOD Rec. 34(3), 31–36 (2005)

    Article  Google Scholar 

  16. SQL/XML, http://www.sqlx.org/

  17. Srivastava, D., Velegrakis, Y.: Intensional associations between data and metadata. In: SIGMOD Conference, pp. 401–412 (2007)

    Google Scholar 

  18. Tan, W.C.: Provenance in databases: Past, current, and future. IEEE Data Eng. Bull. 30(4), 3–12 (2007)

    Google Scholar 

  19. Wang, F., Zaniolo, C., Zhou, X.: Archis: an xml-based approach to transaction-time temporal database systems. The VLDB Journal 17(6), 1445–1463 (2008)

    Article  Google Scholar 

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Gao, S., Zaniolo, C. (2012). Supporting Database Provenance under Schema Evolution. In: Castano, S., Vassiliadis, P., Lakshmanan, L.V., Lee, M.L. (eds) Advances in Conceptual Modeling. ER 2012. Lecture Notes in Computer Science, vol 7518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33999-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-33999-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33998-1

  • Online ISBN: 978-3-642-33999-8

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