TermTrends 2024, co-located with MDTT 2024 aims to provide a discussion forum on the theoretical and methodological approaches for the representation of terminological data, both at a conceptual and a linguistic level. In particular, we would like to focus on their connection to the Linguistic Linked (Open) Data (LLOD) paradigm through the representation of these data according to Semantic Web formats. By adopting models or vocabularies proposed for the representation of linguistic data, we would contribute to the creation of interoperable and reusable terminological resources.
With this objective, the workshop intends to explore the advantages and challenges underlying various Terminology-related standardisation approaches, ranging from the initially proposed standards to represent terminology within the International Standardisation Organisation (ISO), such as the TermBase eXchange (TBX) format, to models that represent linguistic descriptions associated with ontologies in the Semantic Web, such as SKOS and Ontolex-lemon.
Being multidisciplinary in scope, it focuses on identifying terminological representation needs, as well as limitations of current models in addressing such needs, with the aim of also exploring the development of an extension of the Ontolex-lemon vocabulary and how that may contribute to overcoming such challenges.
Call for Papers
The topics of interest for this workshop include, but are not limited to, the following topics:
Papers proposals should follow the CEUR template. Short and long papers will be accepted. Following CEUR guidelines, short papers should be 5-6 pages long and long papers 8-10 pages long. Authors must submit their papers through the EasyChair platform following this link.
TO BE ANNOUNCED
Rute Costa, NOVA FCSH / NOVA CLUNL (Portugal): She is the Head of the Linguistics Centre of the Universidade NOVA de Lisboa and coordinator of the Lexicology, Lexicography and Terminology Group - LLT. She is a collaborator researcher at Digital Humanities Lab and a consultant at the infrastructure ROSSIO, the Portuguese representative at the" Digital Research Infrastructure for the Arts and Humanities" (DARIAH). She has been a member of ISO TC 37 “Language and Terminology" since 2000. She has been the chairwoman of the ISO/TC 37/SC 2 “Terminology workflow and language coding” since 2015. In April 2021, she created the Portuguese mirror committee and is currently the chairwoman of the IPQ/TC 221 “Terminologia, Língua e Linguagens”. Areas of expertise: terminology, lexicography, knowledge organisation and knowledge extraction.
Elena Montiel-Ponsoda, Universidad Politécnica de Madrid (Spain): She is an Associate Professor of Applied Linguistics at Universidad Politécnica de Madrid (UPM), Spain, and a member of the Ontology Engineering Group at the same University. Her main research interests are in the common ground between Terminology and Ontology Engineering. Her research has focused on the development of models to enrich ontologies with multilingual information and to expose terminologies and other language resources as linked data. She is currently involved in several research projects (INESData, TeresIA) that explore the automatic generation and conversion of terminological data, as well as their influence in the training or fine-tuning task of Large Language Models.
Sara Carvalho, Univ. de Aveiro / NOVA CLUNL (Portugal): She is an Assistant Professor at the University of Aveiro (UA), Portugal, and a member of the Lexicology, Lexicography and Terminology team at the Linguistics Research Centre of the Universidade NOVA de Lisboa (NOVA CLUNL), as well as a collaborator at the Languages, Literatures and Cultures Research Centre of the UA. In addition, she is a member of the ISO/TC 37 and of the Portuguese mirror committee "CT 221 – Terminologia, Língua e Linguagens" at the Portuguese Institute for Quality. Her research interests include terminology, lexicography, and knowledge organisation (especially as regards the connection with ontologies), plus the modelling and sharing of terminological resources as linked data, particularly in the biomedical domain.
Patricia Martín-Chozas, Universidad Politécnica de Madrid (Spain): She works as a postdoctoral researcher in Artificial Intelligence at the Ontology Engineering Group and as Assistant Professor at Universidad Politécnica de Madrid and as a teaching assistant at the same university. Her research has been oriented to the generation and representation of terminological resources by means of Semantic Web technologies. Her next research steps are focused on the exploitation of terminological resources published as Linked Data to improve the performance of Large Language Models.
Federica Vezzani, University of Padova (Italy): She holds a PhD in terminology and is an assistant professor at the Department of Linguistic and Literary Studies of the University of Padova, Italy. She is a member of the ISO/TC 37 "Language and Terminology" and of the Portuguese mirror committee "CT 221 – Terminologia, Língua e Linguagens" at the Portuguese Institute for Quality. Her main research interests are terminology, specialised translation, and technical communication. In particular, she focuses on the management of multilingual terminology according to ISO standards, and she has developed the FAIR terminology paradigm for the optimal organisation of findable, accessible, interoperable, and reusable terminological data.
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