Linguistic Linked Data

Philipp Cimiano is a Professor of Computer Science and Head of the Semantic Computing Group at Bielefeld University. His research focuses on topics at the intersection of knowledge representation and natural language processing. Together with the other authors of this book, he was one of the first researchers to propose applying linked data technologies to the domain of linguistics. For more than ten years, he has been working on topics such as ontology learning, question answering using linked data, and information extraction. He is co-chair of the W3C ontology lexicon community group.Christian Chiarcos is an Assistant Professor of Computer Science at Goethe University Frankfurt, and heads the Applied Computational Linguistics group. His research focuses on semantic technologies, including computational semantics as well as the innovative application of Semantic Web standards to NLP problems. He has been co-founder of the Open Linguistics Working Group of the Open Knowledge Foundation (OWLG).John McCrae is a research lecturer at the Data Science Institute and Insight Centre for Data Analytics at the National University of Ireland Galway, where he leads the Unit for Linguistic Data. This group is focused on the creation, maintenance and application of language resources and other linguistic data. He is the coordinator of the Prêt-à-LLOD project, which aims to make linguistic linked open data ready to use as well as the leader of the linguistic linked open data task in the European Lexicographic Infrastructure (ELEXIS).Jorge Gracia is an Assistant Professor at University of Zaragoza, where he belongs to the Aragon Institute of Engineering Research (I3A) and to the Distributed Information Systems research group. His current research interests include multilingualism and linked data, cross-lingual matching and information access on the Semantic Web, as well asinteroperability of language resources on the Web. He currently leads NexusLinguarum, the "European network for Web-centred linguistic data science" COST Action.

• 1 Introduction.- 2 Preliminaries.- 3 Linguistic Linked Open Data Cloud.- 4 Modelling lexical resources as Linked Data.- 5 Representing annotated texts as RDF.- 6 Modelling linguistic annotations.- 7 Modelling metadata of language resources.- 8 Linguistic Categories.- 9 Converting language resources into Linked Data.- 10 Link Representation and Discovery.- 11 Linked Data-based NLP Workflows.- 12 Applying linked data principles to linking multilingualWordnets.- 13 Linguistic Linked Data in Digital Humanities.- 14 Discovery of language resources.- 15 Conclusion.