OM

OM
International Workshop on Ontology Matching
Categories: Semantic Web
http://om2018.ontologymatching.org/
Table of Contents

Events

The following events of the series OM are currently known in this wiki:

	Ordinal	From	To	City	Country	General chair	PC chair	Submitted papers	Acceptance rate	Attendees
OM 2020		Feb 25	Feb 25	Auckland	New Zealand

Number of Submitted and Accepted Papers (Main Track)

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Acceptance Rate

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Locations

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Objectives

Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful technique in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes 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 interlinking, query answering or process mapping. Thus, matching ontologies enables the knowledge and data expressed with the matched ontologies to interoperate.

The workshop has three 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, especially with respect to data interlinking, process mapping and web table matching tasks.

To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2018 campaign. Besides real-world specific matching tasks, such as desease-phenotype track supported by the Pistoia Alliance, will introduce web tables instance matching track supported by IBM Research within a specific matching scenario.

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.