Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful technique in so me classical data integration tasks dealing with t he semantic heterogeneity problem. It takes ontolo gies as input and determines as output an alignmen t, that is, a set of correspondences between the s emantically related entities of those ontologies. These correspondences can be used for various task s, such as ontology merging, data interlinking, qu ery answering or navigation over knowledge graphs. Thus, matching ontologies enables the knowledge a nd data expressed with the matched ontologies to i nteroperate.
\n\nThis International S emantic Web Conference (ISWC) Workshop has three g oals: 1. To bring together leaders from academia, industry and user institutions to assess how acade mic advances are addressing real-world requirement s. 2. To conduct an extensive and rigorous evaluat ion of ontology matching and instance matching (li nk discovery) approaches through the OAEI 2020 cam paign. 3. To examine similarities and differences from other, old, new and emerging, techniques and usages, such as web table matching or knowledge em beddings.
\nThis year, in syn c with the main conference, we encourage submissio ns specifically devoted to: (i) datasets, benchmar ks and replication studies, services, software, me thodologies, protocols and measures (not necessari ly related to OAEI), and (ii) application of the m atching technology in real-life scenarios and asse ssment of its usefulness to the final users.
\n \nContributions to the workshop can be made i n terms of technical papers and posters/statements of interest addressing different issues of ontolo gy matching as well as participating in the OAEI 2 020 campaign. Long technical papers should be of m ax. 12 pages. Short technical papers should be of max. 5 pages. Posters/statements of interest shoul d not exceed 2 pages. All contributions have to be prepared using the LNCS Style.
\n