Location of Repository

Using schema transformation pathways for data lineage tracing

By Hao Fan and Alexandra Poulovassilis

Abstract

With the increasing amount and diversity of information available on the Internet, there has been a huge growth in information systems that need to integrate data from distributed, heterogeneous data sources. Tracing the lineage of the integrated data is one of the problems being addressed in data warehousing research. This paper presents a data lineage tracing approach based on schema transformation pathways. Our approach is not limited to one specific data model or query language, and would be useful in any data transformation/integration framework based on sequences of primitive schema transformations

Topics: csis
Publisher: Springer-Verlag
Year: 2005
OAI identifier: oai:eprints.bbk.ac.uk.oai2:305

Suggested articles

Preview

Citations

  1. (1991). Algebraic properties of bag data types.
  2. (1999). Meta-data support for data transformations using microsoft repository. doi
  3. (2004). AutoMed: A BAV data integration system for heterogeneous data sources. doi
  4. (2001). Why and Where: A characterization of data provenance. doi
  5. (1994). Comprehension syntax. doi
  6. (2000). Practical lineage tracing in data warehouses. doi
  7. (2001). Lineage tracing for general data warehouse transformations. doi
  8. (2000). Tracing the lineage of view data in a warehousing environment. doi
  9. (1997). Recovering information from summary data. In
  10. (2003). Tracing data lineage using schema transformation pathways. In Knowledge Transformation for the Semantic Web, doi
  11. (2003). Using AutoMed metadata in data warehousing environments. doi
  12. (2004). Schema evolution in data warehousing environments — a schema transformation-based approach. doi
  13. (2001). Improving data cleaning quality using a data lineage facility.
  14. (2003). Processing IQL queries and migrating data in the AutoMed toolkit.
  15. (1999). A uniform approach to inter-model transformations. doi
  16. Defining peer-to-peer data integration using both as view rules. doi
  17. (2004). A Tutorial on the IQL Query Language.
  18. (1997). Supporting fine-grained data lineage in a database visualization environment. doi
  19. (2004). XML data integration by graph restrucring. doi
  20. (2004). Using automed for xml data transformation and integration. doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.