This document presents the objectives, content and organisation of the TermTrends tutorial within EKAW 2022. The tutorial intends to give an overview of current techniques and tools for terminology generation, as well as of standardisation approaches for terminological data. Thus, the first part of the tutorial is a theoretical block that includes an introduction to the terminological work, current standards for terminology modelling and two use cases on legal and medical terminology. The second part is a hands-on block that deals with terminological resources and tools. The tutorial is linked to the conference through a series of topics, such as knowledge acquisition and ontology engineering; and it is suitable for both an expert and non-expert audience.
CEUR Workshop Proceedings
Undeniably, terminology plays an essential role in knowledge representation and organisation,
as well as in natural language processing activities dealing with domain-specific knowledge
[
In the TermTrends tutorial5, we study the diferent standardisation approaches, ranging from the initially proposed standards to represent terminology within ISO, to models that represent linguistic data in the Semantic Web, including emerging vocabularies still under development. We also want to give an overview of the main features of the terminology work, exploring its evolution and new methods to speed up the terminology generation process. To complement this, we will present diferent use cases in which both new methods to generate terminologies and new ways to represent terminological knowledge are applied in specific domains, such as Law or Life Sciences. Additionally, half of the tutorial is planned to be a hands-on session, testing several tools with diferent purposes, such as the extraction and enrichment of terminologies and their representation as per diferent vocabularies.
The objectives of this tutorial can be grouped in three main ideas:
1. Introducing terminology and terminology work: its importance for several areas,
namely knowledge discovery, knowledge engineering, ontology engineering, and how it
has evolved over time, including the study of main terminological resources nowadays,
some of which integrating the Linguistic Linked Open Data cloud6.
2. Ofering a complete view of the standards for language data in general , and for
terminology specifically, from initial standardisation approaches, going through
XMLbased formats, such as TBX7 [
Consequently, the content of the tutorial is divided into two blocks: a theoretical and a practical one.
The theoretical part comprises: • An introduction to Terminology, which includes a brief history of the terminological work, from its origins to the intersection of terminology and knowledge organisation. 5https://termtrends.linkeddata.es/ 6https://linguistic-lod.org 7https://www.tbxinfo.net/ 8https://www.w3.org/TR/skos-reference/ 9https://www.w3.org/2016/05/ontolex/ 10https://www.w3.org/community/ontolex/wiki/Terminology 11https://www.w3.org/2009/08/skos-reference/skos.html 12https://openrefine.org/ 13https://protege.stanford.edu/ 14http://vocbench.uniroma2.it/ • An introduction to the current and the emerging standards to organise the data contained in terminological resources. • An introduction to two diferent use cases: legal terminology and medical terminology. Both presentations include overviews of research projects, resources, repositories, standards, challenges, etc.
The practical part includes the following hands-on sessions: • Exploration of Semantic Web vocabularies to model terminological data, such as SKOS and Ontolex, to identify challenges and limitations. • Exploration and querying (SPARQL15) of terminological resources in RDF. • Terminology tool testing, mainly: terminological knowledge acquisition (TermitUp) and terminological knowledge organisation and management (WebProtégé and VocBench).
Therefore, we identify three topics of the conference that can be related to the content of the tutorial: 1. Methods for ontology engineering, since we propose a review of existing vocabularies, standards and formats to model linguistic data, as well as new proposals specifically intended to model terminological data. 2. Methods for knowledge acquisition and management, since the hands-on session is focused on testing several tools for semi-automatic terminological knowledge acquisition, including term extraction, term enrichment and relation acquisition. We also propose the use of diferent tools for knowledge organisation and management over terminological data. 3. Applications in specific domains , during the theoretical session and the practical session we will be presenting several use cases in which diferent terminological generation and modelling approaches have been applied. These use cases match three diferent conference subtopics: 1) eGovernment and public administration, 2) Life sciences, health and medicine, and 3) Humanities and Social sciences.
This document presents the TermTrends tutorial within EKAW 2022, which focuses on the terminology work from its origins to the present, paying special attention to current techniques for terminology generation and management, and to state-of-the-art models to represent terminological data, specifically in the Semantic Web. The tutorial contains a theoretical and a practical part, and it is targeted at a general audience. With this tutorial we intend to raise awareness about the value of terminological resources specifically and language resources in general within the Semantic Web and Natural Language Processing communities, aiming at creating synergies amongst researchers in both fields. 15https://www.w3.org/TR/rdf-sparql-query/ This work is framed within the COST Action (European Cooperation in Science and Technology) through NexusLinguarum, the “European network for Web-centred linguistic data science” COST Action (CA18209)16.