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06.06.2019

Prof. Christian Chiarcos (Goethe-Universität Frankfurt)


Linking the TEI:

Approaches, Limitations, Use Cases

 

As a highly popular community standard, the Text Encoding Initiative (TEI) provides the most frequently adopted model for the semantic markup of text data in the Digital Humanities. For several years, its co-existence with other standards for representing data on the web lead to vastly different strategies how these could be aligned with each other. With this talk, we provide an overview of these approaches and their respective implications and areas of application.

Christian Chiarcos is Assistant Professor of Computer Science at the Goethe University Frankfurt, head of the Applied Computational Linguistics group and leader of the independent research group „Linked Open Dictionaries“ (BMBF, 2015-2020). In 2010, he received a doctoral degree on the topic of Natural Language Generation from the University Potsdam, Germany, he worked subsequently at the Information Sciences Institute of the University of Southern California (ISI/USC), before joining Goethe University Frankfurt in 2013. 

 


As a computational linguist, Christian Chiarcos explored Semantic Web and Linked Data from an NLP and DH perspective and contributed to the emergence of a community at the intersection of NLP and Semantic Web: He has been co-founder of the Open Linguistics Working Group of the Open Knowledge Foundation (OWLG, since 2010), he initiated and co-organized the Linked Data in Linguistics workshop series (since 2012), the Language, Data and Science conference series (since 2017), and the accompanying development of a Linguistic Linked Open Data (LLOD) cloud. Recent community activities include chairing the W3C Linked Data for Language Technology community and business group and the development of an OntoLex module for frequency, attestations and corpus information as part of the W3C Ontology-Lexica community group.