DKP-AOM: results for OAEI 2016

In this paper, we present the results obtained by our DKP-AOM system within the OAEI 2016 campaign. DKPAOM is an ontology merging tool designed to merge heterogeneous ontologies. In OAEI, we have participated with its ontology mapping component which serves as a basic module capable of matching large scale ontologies before their merging. This is our second successful participation in the OAEI 2016 campaign and first in the Process Model Matching track of OAEI. DKP-AOM is participating with two versions (DKP-AOM and DKPAOM_lite). The reference alignments contain correspondences between instances of the class task as well as some correspondences between events. In the lite version of DKP, it does not match classes with the events, as it is of natural semantics that events should not be mapped on classes and vice versa. Therefore, we designed our system with two variants. But, our DKP-AOM system identifies cases where tasks are matched on events (where it makes sense). This is the only difference between two variant, hence for other tracks these two variants produce the same results. In this track, we can see its competitive results in the evaluation initiative among other reputed systems. Finally, we discuss some future work towards the development of DKP-AOM.