Universiteit van Amsterdam

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Institute for Logic, Language and Computation

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26 - 27 October 2019, The Fourteenth International Workshop on Ontology Matching (OM-2019), Auckland, New Zealand

Date: 26 - 27 October 2019
Location: Auckland, New Zealand
Deadline: Friday 28 June 2019

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.

The workshop has three goals: 1. To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements. 2. To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through 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.

This year, in sync with the main conference, we encourage submissions specifically devoted to: (i) datasets, benchmarks and replication studies, services, software, methodologies, protocols and measures (not necessarily related to OAEI), and (ii) application of the matching technology in real-life scenarios and assessment of its usefulness to the final users.

Contributions to the workshop can be made in terms of technical papers and posters/statements of interest addressing different issues of ontology matching as well as participating in the OAEI 2019 campaign. Long technical papers should be of max. 12 pages. Short technical papers should be of max. 5 pages. Posters/statements of interest should not exceed 2 pages.

For more information, see http://om2019.ontologymatching.org/.

Please note that this newsitem has been archived, and may contain outdated information or links.