Translating web data

  • Authors:

  • Lucian Popa;Yannis Velegrakis;Mauricio A. Hernández;Renée J. Miller;Ronald Fagin

  • Affiliations:

  • IBM Almaden Research Center, San Jose, CA;University of Toronto, Toronto, ON;IBM Almaden Research Center, San Jose, CA;University of Toronto, Toronto, ON;IBM Almaden Research Center, San Jose, CA

  • Venue:
  • VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
  • Year:
  • 2002

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Abstract

We present a novel framework for mapping between any combination of XML and relational schemas, in which a high-level, user-specified mapping is translated into semantically meaningful queries that transform source data into the target representation. Our approach works in two phases. In the first phase, the high-level mapping, expressed as a set of inter-schema correspondences, is converted into a set of mappings that capture the design choices made in the source and target schemas (including their hierarchical organization as well as their nested referential constraints). The second phase translates these mappings into queries over the source schemas that produce data satisfying the constraints and structure of the target schema, and preserving the semantic relationships of the source. Nonnull target values may need to be invented in this process. The mapping algorithm is complete in that it produces all mappings that are consistent with the schema constraints. We have implemented the translation algorithm in Clio, a schema mapping tool, and present our experience using Clio on several real schemas.