OM 2015 - 10th International Workshop on Ontology Matching (OM-2015)

Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes the ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data translation, query answering or navigation on the web of data. Thus, matching ontologies enables the knowledge and data expressed in the matched ontologies to interoperate. Approaches to ontology matching have become a mainstream area of Semantic Web research. We expect that ISWC 2015 technical program will have several papers presenting different methods for ontology matching (just like previous ISWCs did). Therefore, we do not plan to solicit presentations on matching methods per se. Rather, the workshop has the following goals:
To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements. The workshop will strive to improve academic awareness of industrial and final user needs, and therefore, direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop will also investigate how the ontology matching technology is going to evolve.
To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative ) 2015 campaign. OAEI 2015, besides real-world specific matching tasks, involving e.g., large biomedical ontologies, will introduce linked data benchmarks. Companies, such as IBM, will also provide specific matching scenarios and datasets. Therefore, the ontology matching evaluation initiative itself will provide a solid ground for discussion of how well the current approaches are meeting business needs.
To examine new uses, similarities and differences from database schema matching, which has received decades of attention but is just beginning to transition to mainstream tools.