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 process mapping.
\n\nThe workshop has three goals: 1. To bring together lea ders from academia, industry and user institutions to assess how academic advances are addressing re al-world requirements. 2. To conduct an extensive and rigorous evaluation of ontology matching and i nstance matching (link discovery) approaches throu gh the OAEI 2019 campaign. 3. 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.
\nThis year, in sync with the main conference, we encourage submissions specifically devoted to: (i) datasets, benchmarks and replication studies, services, software, meth odologies, protocols and measures (not necessarily related to OAEI), and (ii) application of the mat ching technology in real-life scenarios and assess ment of its usefulness to the final users.
\n\nContributions to the workshop can be made in terms of technical papers and posters/statements o f interest addressing different issues of ontology matching as well as participating in the OAEI 201 9 campaign. Long technical papers should be of max . 12 pages. Short technical papers should be of ma x. 5 pages. Posters/statements of interest should not exceed 2 pages.
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