A Tool for Semi-Automated Semantic Schema Mapping: Design and Implementation

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
Recently, schema mapping has found considerable interest in both research and practice. Determining matching components of database or XML (eXtensible Markup Language) schemas is needed in many applications, e.g. for e-business and data integration. In this paper, a complete generic solution of the schema mapping problem is presented. A hybrid semantic schema mapping algorithm which semi-automatically finds mappings between two data representation schemas is introduced. The algorithm finds mappings based on the hierarchical organization of the elements of a term dictionary (WordNet) and on the reuse of already identified matchings.
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