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A composite approach to automating direct and indirect schema mappings
Authors:Li Xu  David W. Embley
Affiliation:1. Department of Computer Science, University of Arizona South, USA;2. Department of Computer Science, Brigham Young University, Provo, UT 84602, USA
Abstract: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.
Keywords:Schema mapping   Direct and indirect schema matching   Data exchange   Composite approach   Data-extraction ontologies
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