This presentation sketches exploratory work on Language-related Linked Data. In particular, it reports on work and networks in the realm of schema.org, Wikidata, and Linguistic Linked Data will be sketched. This work likely is of interest to companies, governmental institutions, researchers, and other constituencies involved in or in need for assistive solutions related to content in general and knowledge in particular. Examples for this include content syndication, multi-modal chatbot-based applications, various Artificial Intelligence/Machine Learning areas and more.
2019-08-15_Semantics Sasaki Lieske.pdf
Dr.
Cornelsen GmbH
https://www.cornelsen.de/
From 1993 until 1999, Felix studied Japanese and Linguistics in Berlin, Nagoya (Japan) and Tokyo. Since 1999 he worked in the Department of Computational Linguistics and Text-technology, at the University of Bielefeld (Germany), where he finished his PhD in 2004. The PhD deals with the integration of heterogeneous linguistic resources using XML-based (e.g.
Christian Lieske is involved in SAP language technologies, assets and processes. He has worked with organizations such as the World Wide Web Consortium (W3C), has contributed to e.g. the European Commission’s MultilingualWeb initiative, and standards such as the XML Localization Interchange File Format (XLIFF).
