InsMT / InsMTL results for OAEI 2014 instance matching

InsMT and InsMTL are automatic instance-based ontology alignment systems which (a) annotate instances as first step. In the second step, the InsMT system (b) applies different terminological matchers with a local filter on these annotated instances. Contrary to InsMT, the InsMTL system (b) matches the annotated instances not only at terminological level but also at linguistic level. For the first version of our systems and the first participation at OAEI 2014 evaluation campaign, the results are good in terms of recall but they are not in terms of F-measure. 1 Presentation of the system 1.1 State, purpose, general statement The instance matching aims to identify similar instances among different ontologies. The systems InsMT (Instance Matching at Terminological level) and InsMTL (Instance Matching at Terminological and Linguistic level) are realized for this purpose. InsMT and InsMTL are automatic instance-based ontology alignment that generates as output an alignment which that contains all the semantic correspondences found between the instances of different concepts of the two ontologies to be aligned. The InsMT and InsMTL systems annotate the instances as first step with concept and property names. As second step InsMT uses various string-based matching algorithms i.e. terminological level, these similarities calculated by each algorithm are represented in matrix. InsMT applied a local filter on each matrix, and combines these new similarities with average aggregation method. Contrary to InsMT, InsMTL system calculates similarities between annotated instances not only at terminological level but also at linguistic level. InsMTL combines the similarities calculated by the various string-based matching algorithms at terminological level, with similarities calculated using an external resource WordNet i.e. at linguistic level. The next step consists in combining the similarities by gives the priority to linguistic matcher otherwise we have used an average aggregation method. Finally both systems applied a filter in order to select the semantic correspondences between instances of different ontologies. The details of each step of InsMT and InsMTL systems are described in the following section. 1.2 Specific techniques used The process of InsMT and InsMTL systems consists in the following two successive steps: 1) Annotation and Calculation of Similarities and 2) Combination and Extraction of Alignment.