Forty years ago the linguist Dr. Christian Lehmann developed a framework for documenting linguistic terms, concepts and bibliographic data that resulted in the LiDo Terminological and Bibliographical Database (LiDo TBD). Since 2006 students and linguistic researchers benefit from the data by looking it up on the Web. Even though, the LiDo TBD is implemented as a relational database, its underlying framework aims at yielding a terminological network containing data nodes that are connected via specific relation edges in order to create an interrelated data graph. Now, with the emergence of Semantic Web technologies we were able to implement this pioneering work by converting the LiDo TBD relational database into a Linked Data graph. In this paper we present and describe the creation of the LiDo RDF dataset and introduce the LiDo RDF project. The goals of this project are to enable the direct use and reuse of the data both for the scientific research community and machine processing alike as well as to enable a valuable enrichment of already existing linguistic terminological and bibliographic data by including LiDo RDF in the LLOD cloud.
@InProceedings{KLIMEK18.812, author = {Bettina Klimek and Robert Schädlich and Dustin Kröger and Edwin Knese and Benedikt Elßmann}, title = "{LiDo RDF: From a Relational Database to a Linked Data Graph of Linguistic Terms and Bibliographic Data}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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