Knowledge Extraction in the SEEK Project Part I : Data Reverse Engineering Technical Report

  title={Knowledge Extraction in the SEEK Project Part I : Data Reverse Engineering Technical Report},
  author={Joachim Hammer and Mark Schmalz and WILLIAM V. O’BRIEN and Sangeetha Shekar and N. Haldavnekar},
In this report we describe our methodology for knowledge extraction in the SEEK (Scalable Extraction of Enterprise Knowledge) project and highlight the underlying technologies supporting SEEK. In particular, we discuss our use of data reverse engineering and code mining techniques to automatically infer as much as possible the schema and semantics of a legacy information system. We have a fully functional prototype implementation, which we use to illustrate the approach using an example from… CONTINUE READING


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