A database conceptual schema, or simply a schema, is a high level description of how database concepts are organized. The schema matching from a source schema S into a target schema T defines concepts in T on terms of the concepts in S. This work describes a software tool that helps implement instancebased schema matching techniques for OWL dialects that depend on the definition of similarity functions to evaluate the semantic proximity of elements from two different schemas. The tool is designed to accommodate different similarity functions and distinct matching algorithms, thereby facilitating experimenting with alternative matching configurations.