Towards matching of domain ontologies to cross-domain ontology - evaluation perspective.

Ontology matching, as a process of matching two or more ontologies, is usually aimed at matching of domain ontologies. However, there are also other kinds of ontologies which make sense to align (and particularly with domain ontologies). Cross-domain (general) ontologies cover more domains. For example, the DBpedia ontology is a cross-domain ontology. It contains concepts, such as Agent, Device, Food, Place, from diverse domains. In comparison, domain ontologies focus on concepts from one area. For instance, the confof ontology from OntoFarm contains concepts such as Contribution, Event, Person dealing with the conference organization. While motivation use cases (such as information integration and information sharing, e.g. in [1]) for matching of domain ontologies to a cross-domain ontology are to a large degree similar as for matching of domain ontologies, there are different challenges with regard to matching. We claim that matching to crossdomain ontology is more difficult for traditional ontology matching systems since a cross-domain ontology contains concepts from various areas and it is more difficult to recognize proper concepts to align. Next a cross-domain ontology is usually larger. In all, we can expect a higher amount of false positives (lowering precision) since string-based matching techniques will be more often confused. There has not yet been much work done on this kind of matching. Authors in [3] focused on matching enhanced with knowledge of the domain and they evaluated their approach on matching two domain ontologies to the DBpedia ontology. Further there is a close effort of matching of foundational ontologies [2].