On the Linguistic Linked Open Data Infrastructure

no code implementations • LREC 2020 • Christian Chiarcos, Bettina Klimek, Christian F{\"a}th, Thierry Declerck, John Philip McCrae

In this paper we describe the current state of development of the Linguistic Linked Open Data (LLOD) infrastructure, an LOD(sub-)cloud of linguistic resources, which covers various linguistic data bases, lexicons, corpora, terminology and metadata repositories. We give in some details an overview of the contributions made by the European H2020 projects {``}Pr{\^e}t-{\`a}-LLOD{''} ({`}Ready-to-useMultilingual Linked Language Data for Knowledge Services across Sectors{'}) and {``}ELEXIS{''} ({`}European Lexicographic Infrastructure{'}) to the further development of the LLOD.

Preparation and Usage of Xhosa Lexicographical Data for a Multilingual, Federated Environment

1 code implementation • LREC 2018 • Sonja Bosch, Thomas Eckart, Bettina Klimek, Dirk Goldhahn, Uwe Quasthoff

Language Modelling

LiDo RDF: From a Relational Database to a Linked Data Graph of Linguistic Terms and Bibliographic Data

1 code implementation • LREC 2018 • Bettina Klimek, Robert Sch{\"a}dlich, Dustin Kr{\"o}ger, Edwin Knese, Benedikt El{\ss}mann

Creating Linked Data Morphological Language Resources with MMoOn - The Hebrew Morpheme Inventory

1 code implementation • LREC 2016 • Bettina Klimek, Natanael Arndt, Sebastian Krause, Timotheus Arndt

It will be shown how segmented Hebrew language data can be granularly described in a Linked Data format, thus, serving as an exemplary case for creating morpheme inventories of any inflectional language with MMoOn.

The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud

no code implementations • LREC 2016 • John Philip McCrae, Christian Chiarcos, Francis Bond, Philipp Cimiano, Thierry Declerck, Gerard de Melo, Jorge Gracia, Sebastian Hellmann, Bettina Klimek, Steven Moran, Petya Osenova, Antonio Pareja-Lora, Jonathan Pool

The Open Linguistics Working Group (OWLG) brings together researchers from various fields of linguistics, natural language processing, and information technology to present and discuss principles, case studies, and best practices for representing, publishing and linking linguistic data collections.