• Coma: Coma 3.0 is a schema matching prototype that includes a graphical user interface for schema matching. Coma 3.0 also includes ontology merging feature. The community edition of Coma 3.0 can be downloaded from here. This tool is built by University of Leipzig in Java.
  • Harmony is a schema matching tool that is developed as part of the open information integration project. Harmony is able to match schemas in different formats, such as XSD, SQL data definition language, OWL, and spreadsheets. Also written in Java.
  • FlexMatcher (in Python): a schema matching package that uses a number of machine learning techniques to train a schema matcher using information from the schema and/or available data. The upcoming version of FlexMatcher would allow users to deploy a wide range of machine learning techniques (from Python’s scikit-learn) to train more efficient models for the schema-matching task.
  • There is also a number of schema-matching on github which we list below: