A composite approach to automating direct and indirect schema mappings

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Automating schema mapping is challenging. Previous approaches to automating schema mapping focus mainly on computing direct matches between two schemas. Schemas, however, rarely match directly. Thus, to complete the task of schema mapping, we must also compute indirect matches. In this paper, we present a composite approach for generating a source-to-target mapping that contains both direct and many indirect matches between a source schema and a target schema. Recognizing expected-data values associated with schema elements and applying schema-structure heuristics are the key ideas needed to compute indirect matches. Experiments we have conducted over several real-world application domains show encouraging results, yielding about 90% precision and recall measures for both direct and indirect matches.

论文关键词:Schema mapping,Direct and indirect schema matching,Data exchange,Composite approach,Data-extraction ontologies

论文评审过程:Received 15 August 2003, Revised 10 January 2005, Accepted 20 January 2005, Available online 2 March 2005.

论文官网地址:https://doi.org/10.1016/j.is.2005.01.003