The main aim of this track is to motivate and attract ontology matching systems to work on matching ontologies and thesauri used in the biodiversity and ecology domains. In the current edition, we decided to keep the matching task to find alignments between the Environment Ontology (ENVO) and the Semantic Web for Earth and Environment Technology Ontology (SWEET) as these two ontologies have frequent updates.
We address since 2021, the alignment of two new biological taxonomies with rather different but complementary scopes: the well-known, world-wide NCBI taxonomy, and TAXREF-LD [3], a more fined-grained, manually curated taxonomy that spans French metropolitan and overseas territories. A challenging aspect is the discrepancies between (1) the size and scope of both taxonomies, and (2) the RDF model to account for taxonomy and nomenclatural information.
(not available yet)
The biodiv dataset (4 ontologies, 4 thesauri and 4 reference alignments together with modules for the bigger matching task) can be downloaded here.
[1] Naouel Karam, Abderrahmane Khiat, Alsayed Algergawy, Melanie Sattler, Claus Weiland, Marco Schmidt: Matching biodiversity and ecology ontologies: challenges and evaluation results. Knowledge Eng. Review 35: e9 (2020).
[2] F. Michel, O. Gargominy, S. Tercerie and C. Faron-Zucker: A Model to Represent Nomenclatural and Taxonomic Information as Linked Data. Application to the French Taxonomic Register, TAXREF. 2nd workshop on Semantics for Biodiversity (S4BioDiv), 2017.