Ontology matching is generally defined as the process of finding correspondences between entities of different ontologies. It can help the data integration between autonomous agents, web services composition, and P2P information sharing. This process is applied through the use of ontology matching tools which use one or more ontology matching techniques. This paper presents tools which have been published in this field, such as Prompt [7], Smatch [5] and Ontobuilder [16]. Moreover the paper illustrates the drawbacks of these tools. New two tools are proposed to handle these drawbacks. The new proposed and other tools are tested using GlycO [8]and EnzyO[10] in the biochemistry field, Osteoarthritis and Rheumatoid in the medical field.
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