Terme-à-LLOD: Simplifying the Conversion and Hosting of Terminological Resources as Linked Data

Maria Pia di Buono, Philipp Cimiano, Mohammad Fazleh Elahi, Frank Grimm


Abstract
In recent years, there has been increasing interest in publishing lexicographic and terminological resources as linked data. The benefit of using linked data technologies to publish terminologies is that terminologies can be linked to each other, thus creating a cloud of linked terminologies that cross domains, languages and that support advanced applications that do not work with single terminologies but can exploit multiple terminologies seamlessly. We present Terme-‘a-LLOD (TAL), a new paradigm for transforming and publishing terminologies as linked data which relies on a virtualization approach. The approach rests on a preconfigured virtual image of a server that can be downloaded and installed. We describe our approach to simplifying the transformation and hosting of terminological resources in the remainder of this paper. We provide a proof-of-concept for this paradigm showing how to apply it to the conversion of the well-known IATE terminology as well as to various smaller terminologies. Further, we discuss how the implementation of our paradigm can be integrated into existing NLP service infrastructures that rely on virtualization technology. While we apply this paradigm to the transformation and hosting of terminologies as linked data, the paradigm can be applied to any other resource format as well.
Anthology ID:
2020.ldl-1.5
Volume:
Proceedings of the 7th Workshop on Linked Data in Linguistics (LDL-2020)
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
LDL | LREC | WS
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
28–35
Language:
English
URL:
https://www.aclweb.org/anthology/2020.ldl-1.5
DOI:
Bib Export formats:
BibTeX MODS XML EndNote
PDF:
http://aclanthology.lst.uni-saarland.de/2020.ldl-1.5.pdf