[TMP-085] Multilingual SynSemClass for the Semantic Web (acronym: MSSW)

Contact person: Jan Hajic, Charles Univ, (jan.hajic@mff.cuni.cz)

Internal Partners:

1. Charles Univ, Jan Hajic
2. DFKI, Thierry deClerck

SynSemClass is a dataset created in a previous Humane AI Net Micro-Project called META-O-NLU. The objective of this micropropject was to convert SynSemClass to a Linguistic Linked Open Data (LLOD) datas, connecting it to the huge amount or interlinked data already available. Linguistic Linked Open Data is a generic term for a set of mutually connected language resources, using ontological relations. The connections between concepts and between concepts and their expression in natural language make them suitable for both research and industrial applications in the area of content analysis, natural language understanding, inferencing and other tasks.

Results Summary

The concrete deliverable for this micro project was an LLOD for SynSemClass, connecting it to the huge amount or interlinked data already available. A partner is involved in the Prêt-à-LLOD H2020 project, making this project synergistic in nature and multiplicative in

terms of results in previous projects. Partners are also involved in the COST Action “European network for Web-centered linguistic data science” (NexusLinguarum).