TermitUp: Generation and enrichment of linked terminologies

Abstract

Domain-specific terminologies play a central role in many language technology solutions. Substantial manual effort is still involved in the creation of such resources, and many of them are published in proprietary formats that cannot be easily reused in other applications. Automatic term extraction tools help alleviate this cumbersome task. However, their results are usually in the form of plain lists of terms or as unstructured data with limited linguistic information. Initiatives such as the Linguistic Linked Open Data cloud (LLOD) foster the publication of language resources in open structured formats, specifically RDF, and their linking to other resources on the Web of Data. In order to leverage the wealth of linguistic data in the LLOD and speed up the creation of linked terminological resources, we propose TermitUp, a service that generates enriched domain specific terminologies directly from corpora, and publishes them in open and structured formats. TermitUp is composed of five modules performing terminology extraction, terminology post-processing, terminology enrichment, term relation validation and RDF publication. As part of the pipeline implemented by this service, existing resources in the LLOD are linked with the resulting terminologies, contributing in this way to the population of the LLOD cloud. TermitUp has been used in the framework of European projects tackling different fields, such as the legal domain, with promising results. Different alternatives on how to model enriched terminologies are considered and good practices illustrated with examples are proposed.

Multilinguality and LLOD: A survey across linguistic description levels

“…A detailed overview of how (multilingual) knowledge graphs have been relevant for and used in NLP tasks is provided by Schneider et al [212], ranging from entity alignment to text summarization. LLOD resources have also been beneficial to many application domains, such as cultural heritage [35,105], healthcare and medicine [111], administration and law [83], e-governance [159,221], media and journalism [219], language learning and education [155], crosscultural business and commerce [90,229], disaster response and humanitarian aid [34], ecology and environment [4], and digital librarianship [69].…”

“…From the administrative and legal domain, a major LLOD resource is the multilingual EuroVoc vocabulary from the European Commission published in SKOS [83]. A more comprehensive initiative to port to and interlink legal language resources in the LLOD cloud was proposed by Martín-Chozas et al [159]. Their approach includes the porting of existing resources, such as German Labour Law Thesaurus and JuriVoc, to RDF as well as the creation of new resources drawing from automated term extraction and existing legal language corpora.…”