Diagnosis process with two focuses minimal in incoherent mapping repair

Abstract

Ontology Matching is a process to find correspondences between semantically related entities of two ontologies. Most matching systems do evaluation by comparing the correspondences with reference alignment. Since 2010 another method has been used to measure a logic-based of correspondence or mapping, called incoherent mapping measurement. The more incoherent of the mapping the lower quality of mapping. Incoherent mapping repair will restore the incoherent to coherent condition in mapping, by removing unwanted mapping. The process of removing unwanted mapping to restore the coherent condition is called diagnosis process. Since mappings are very important sources to support data integration and exchange, then diagnosis should be done as minimal as possible. We propose two focuses minimal using global new technique to repair the incoherent mapping. This approach should (1) ensure minimal impact on the input alignment by minimizing the number of mapping removed; and (2) minimize the average of confidence values of the mapping removed. The next study about minimal diagnosis is finding the right method to implement the two focuses minimal with global new techniques in the real world.