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.
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).
The importance of operational instructions and their impact on the control room is much discussed in the electrical sector. When a blackout occurs, in one of the phases, operators must use a set of documents that includes all the actions that will help the agent in the execution of switching order until the system restoration.
Agility and accuracy depend on the operator's knowledge and experience. In cases of big and complex systems, it can take a long time for the complete network to be restored, besides possible execution failures.
IT Architect
ONS - Operador Nacional do Sistema Elétrico
https://ons.org.br/
Computer scientist, I have a broad experience in IT since 2000, working as programmer, systems analyst and IT architect; Fullstack developer, proactive and usually exercises leadership in teamwork. My background covers software engineering for data science, including the whole application lifecycle management, with emphasis on semantics, textual data and natural language processing.
