Abstract: Terminologies are a specific type of language resources that compile the terms or specialised words of a specific area of knowledge. NLP applications dealing with domain corpora usually need to rely on terminological resources that account for the specific meanings of the words in the domain at hand. In the first part of the Lab, students will become familiar with the type of linguistic information usually contained in terminologies and the models proposed within the Linguistic Linked Data community to represent terminological data in Semantic Web formats. Once published in these formats, language resources can be linked to other assets and become part of the Linguistic Linked Open Data cloud (LLOD cloud). During the second part of the lab, students will learn about the whole life cycle of terminologies in Semantic Web formats. This session will be fully practical, and students are expected to use a number of applications with varied objectives: extraction of terms from text, enrichment with existing information and publishing following the Linked Data principles.
Short Bio: Elena Montiel-Ponsoda is an Associate Professor of Applied Linguistics at Universidad Politécnica de Madrid (UPM), in Madrid, Spain, and 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 main 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 exploring the use of interlinked multilingual terminologies in semantic-based information retrieval. Recently, she has coordinated the Lynx project, and innovation action funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780602. This project has created an ecosystem of smart cloud services based on a Legal Knowledge Graph, which integrates and links heterogeneous data sources across languages and jurisdictions.