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Article published In: Terminology
Vol. 31:2 (2025) ► pp.171–207

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Representing terminological data in the Semantic Web

A proposal based on OntoLex-lemon

ORCiD logo with link | Universidad Politécnica de Madrid
 | Deutsches Forschungszentrum für Künstliche Intelligenz
 | Universidad Politécnica de Madrid
 | Universidad Politécnica de Madrid
Published online: 4 March 2024
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https://doi.org/10.1075/term.22037.mar
Abstract
This paper describes an approach to represent terminologies in the machine-readable format of the Semantic Web, which improves the interoperability between terminological resources and opens up new possibilities yet to be discovered. The study’s motivation stems from the realization that the existing formalisms, such as SKOS or OntoLex-lemon, might not adequately capture the information within authoritative terminological resources. Therefore, we identified model requirements by formulating a set of Competency Questions derived from the analysis of terminological resources across various fields and domains, in line with the ontology development methodologies adopted in this work. During this analysis, we faced different representation challenges such as the various sources of term descriptions and the quality indicators related to terms. Consequently, we propose Termlex, a proposal based on the OntoLex-lemon model that combines the conceptual structure of the SKOS model with the lexical information as modelled in OntoLex-lemon. In Termlex, we define new classes and properties to cover the specific needs of terminological resources coming from a variety of approaches. The paper concludes with the instantiation of the Termlex model through three different use cases that follow different modelling approaches as a validation attempt.
Article outline
  • 1.Introduction
    • 1.1Benefits of the Semantic Web
  • 2.Related work
  • 3.Representation challenges: Analysis of terminological resources
  • 4.Proposal: Termlex
    • 4.1Termlex development methodology
    • 4.2Termlex core
      • 4.2.1Classes
      • 4.2.2Properties
  • 5.Use cases
    • 5.1Representing simple resources with Termlex
    • 5.2Representing complex resources with Termlex
    • 5.3Representing automatically generated resources with Termlex
  • 6.Conclusions
  • Notes
  • References
References (42)
References
Berners-Lee, Tim. 2006. Design Issues. Last accessed: October 11, 2022. [URL]
Berners-Lee, Tim, James Hendler, and Ora Lassila. 2001. “The Semantic Web.” Scientific American, 248(5), 34–43. Google Scholar logo with link to Google Scholar
Bizer, Christian, Tom Heath, and Tim Berners-Lee. 2011. “Linked Data: The Story So Far.” In Semantic Services, Interoperability and Web Applications: Emerging Concepts: Emerging Concepts, by Amit Sheth, 205–227. Hershey: IGI Global. Google Scholar logo with link to Google Scholar
Bosque-Gil, Julia, Elena Montiel-Ponsoda, Jorge Gracia, and Guadalupe Aguado-de-Cea. 2016. “Terminoteca RDF: a Gathering Point for Multilingual Terminologies in Spain.” International conference on Terminology and Knowledge Engineering, 136–146.Google Scholar logo with link to Google Scholar
Bosque-Gil, Julia, Jorge Gracia, Elena Montiel-Ponsoda, and Guadalupe Aguado-de-Cea. 2016. “Modelling Multilingual Lexicographic Resources for the Web of Data: The K Dictionaries Case.” GLOBALEX 2016 Lexicographic Resources for Human Language Technology Workshop Programme.Google Scholar logo with link to Google Scholar
Cabré, María Teresa. 1993. La Terminología. Teoría, Metodología, Aplicaciones. Barcelona: Empuries.Google Scholar logo with link to Google Scholar
Cabré, Maria Teresa. 2003. “Theories of Terminology: Their Description, Prescription and Explanation.” Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication, 9(2), 163–199. Google Scholar logo with link to Google Scholar
Caracciolo, Caterina, Armando Stellato, Ahsan Morshed, Gudrun Johannsen, Sachit Rajbhandari, Yves Jaques, and Johannes Keizer. 2013. “The AGROVOC Linked Dataset.” Semantic Web. 4(3), 341–348. Google Scholar logo with link to Google Scholar
Chandrasekaran, Balakrishnan, John Josephson, and Richard Benjamins. 1999. “What are Ontologies and Why Do We Need Them?” IEEE Intelligent Systems and Their Applications, 14(1), 20–26. Google Scholar logo with link to Google Scholar
Cimiano, Philipp, John McCrae, Víctor Rodríguez-Doncel, Tatiana Gornostay, Asunción Gómez-Pérez, Benjamin Siemoneit, and Andis Lagzdins. 2015. “Linked Terminologies: Applying Linked Data Principles to Terminological Resources.” Electronic Lexicography in the 21st Century, 504–517.Google Scholar logo with link to Google Scholar
Di Buono, Maria Pia, Philipp Cimiano, Mohammad Fazleh Elahi, and Frank Grimm. 2020. “Terme-a-LLOD: Simplifying the Conversion and Hosting of Terminological Tesources as Linked Data.” Linked Data in Linguistics, 28–35.Google Scholar logo with link to Google Scholar
Díez-Alvite, Luisa, Beatriz Pérez-León, Mercedes Martínez-González, and Javier Vicente Blanco-Dámaso. 2010. “Propuesta de Representación del Tesauro Eurovoc en SKOS para su Integración en Sistemas de Información jurídica.” Scire: Representación y Organización del Conocimiento, 16(2), 47–51. Google Scholar logo with link to Google Scholar
Faber, Pamela, Pilar León-Araúz, and Arianne Reimerink. 2016. “EcoLexicon: New features and Challenges.” Globalex Workshop at Language Resources and Evaluation Conference, 73–80.Google Scholar logo with link to Google Scholar
Faber, Pamela, Carlos Márquez-Linares, and Miguel Vega-Expósito. 2005. “Framing Terminology: A Process-Oriented Approach.” Meta: Journal des Traducteurs, 50(4).Google Scholar logo with link to Google Scholar
Francopoulo, Gil. 2013. LMF Lexical Markup Framework. Hoboken, New Jersey: John Wiley and Sons. Google Scholar logo with link to Google Scholar
Fuertes-Oliveira, Pedro A., and Sven Tarp. 2014. Theory and Practice of Specialised Online Dictionaries. Lexicography versus Terminography. Berlin, Boston: De Gruyter. Google Scholar logo with link to Google Scholar
Garijo, Daniel. 2017. “Widoco: a wizard for documenting ontologies.” Proceedings of the International Semantic Web Conference, 94–102. Google Scholar logo with link to Google Scholar
Gracia, Jorge, Marta Villegas, and Asunción Gómez-Pérez. 2018. “The Apertium Bilingual Dictionaries on the Web of Data.” Semantic Web, 9(2), 231–240. Google Scholar logo with link to Google Scholar
Gruber, Thomas R. 1993. “A Translation Approach to Portable Ontology Specifications.” Knowledge Acquisition, 5(2), 199–220. Google Scholar logo with link to Google Scholar
Hovenga, Evelyn. 2022. “Guideline and knowledge management in a digital world.” In Roadmap to Successful Digital Health Ecosystems. A Global Perspective, ed. by Evelyn Hovenga and Heather Grain, 239–270. Elsevier. Google Scholar logo with link to Google Scholar
Ide, Nancy, and Jean Véronis. 1995. Text Encoding Initiative: Background and Contexts. Springer Science & Business Media. Google Scholar logo with link to Google Scholar
McCrae, John, Guadalupe Aguado-de-Cea, Paul Buitelaar, Philipp Cimiano, Thierry Declerck, Asunción Gómez-Pérez, Jorge Gracia, et al. 2012. “Interchanging Lexical Resources on the Semantic Web.” Language Resources and Evaluation 701–719. Google Scholar logo with link to Google Scholar
Melby, Alan. 2012. “Terminology in the Age of Multilingual Corpora.” The Journal of Specialised Translation, 181, 7–29.Google Scholar logo with link to Google Scholar
Miles, Alistair, Brian Matthews, Michael Wilson, and Dan Brickley. 2005. “SKOS core: Simple Knowledge Organisation for the Web.” International Conference on Dublin Core and Metadata Applications, 3–10.Google Scholar logo with link to Google Scholar
Montero-Martínez, Silvia, and Pamela Faber-Benítez. 2009. “Terminological Competence in Translation.” Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication, 15(1), 88–104. Google Scholar logo with link to Google Scholar
Montiel-Ponsoda, Elena, Guadalupe Aguado-de-Cea, Asunción Gómez-Pérez, and Wim Peters. 2011. “Enriching Ontologies with Multilingual Information.” Natural Language Engineering, 17(3), 283–309. Google Scholar logo with link to Google Scholar
Poveda-Villalón, María, Alba Fernández-Izquierdo, Mariano Fernández-López, and Raúl García-Castro. 2022. “LOT: An Industrial Oriented Ontology Engineering Framework.” Engineering Applications of Artificial Intelligence, 1111, 104755. Google Scholar logo with link to Google Scholar
Poveda-Villalón, María, Asunción Gómez-Pérez, ed. by Mari Carmen Suárez-Figueroa. 2014. “Oops!(ontology pitfall scanner!): An on-line tool for ontology evaluation.” International Journal on Semantic Web and Information Systems (IJSWIS) 71–34. Google Scholar logo with link to Google Scholar
Reymonet, Axel, Jérôme Thomas, and Nathalie Aussenac-Gilles. 2007. “Modelling Ontological and Terminological Resources in OWL DL.” From Text to Knowledge: The Lexicon/Ontology Interface – Workshop at ISWC07. Busan: CEUR.Google Scholar logo with link to Google Scholar
Roche, Christophe. 2012. “Ontoterminology: How to unify terminology and ontology into a single paradigm.” LREC 12 – Eighth International Conference in Laguage Resources and Evaluation 21–27.Google Scholar logo with link to Google Scholar
Roche, Christophe, Luc Damas, and Julien Roche. 2014. “Multilingual Thesaurus: The Ontoterminology Approach.” CIDOC 2014 (International Committee for Documentation) Access and Understanding. Networking in the Digital Era.Google Scholar logo with link to Google Scholar
Stefaniak, Karolina. 2017. “Terminology Work in the European Commission: Ensuring High-quality Translation in a Multilingual Environment.” Quality aspects in institutional translation, 81, 109–121.Google Scholar logo with link to Google Scholar
Suárez-Figueroa, Mari Carmen, Asunción Gómez-Pérez, and Boris Villazón-Terrazas. 2009. “How to Write and Use the Ontology Requirements Specification Document.” OTM Confederated International Conferences “On the Move to Meaningful Internet Systems”. Springer. 966–982. Google Scholar logo with link to Google Scholar
Suárez-Figueroa, Mari Carmen, Asunción Gómez-Pérez, and Mariano Fernández-López. 2012. “The NeOn Methodology for Ontology Engineering.” In Ontology Engineering in a Networked World, ed. by Mari Carmen Suárez-Figueroa, Asunción Gómez-Pérez and Aldo Gangemi, 9–34. Heidelberg: Springer. Google Scholar logo with link to Google Scholar
Temmerman, Rita, and Koen Kerremans. 2003. “Termontography: Ontology building and the sociocognitive approach to terminology description.” Proceedings of CIL17.Google Scholar logo with link to Google Scholar
Uschold, Mike, and Michael Gruninger. 1996. “Ontologies: Principles, Methods and Applications.” The Knowledge Engineering Review 93–136, 11(2). Google Scholar logo with link to Google Scholar
Vandenbussche, Pierre-Yves, A. Ghislain, María Poveda-Villalón, and Bernard Vatant. 2017. “Linked Open Vocabularies (LOV): a Gateway to Reusable Semantic Vocabularies on the Web.” Semantic Web, 8(3), 437–452. Google Scholar logo with link to Google Scholar
Wüster, Eugen. 1985. Einführung in die allgemeine Terminologielehre und terminologische Lexikographie. Copenhagen: Fachsprachliches Zentrum Handelshochschule.Google Scholar logo with link to Google Scholar
Zapilko, Benjamin, Johann Schaible, Philipp Mayr, and Brigitte Mathiak. 2013. “TheSoz: A SKOS Representation of the Thesaurus for the Social Sciences.” Semantic Web, 4(3), 257–263. Google Scholar logo with link to Google Scholar
Zorrilla, Paula, and Thierry Fontenelle. 2019. “IATE 2: Modernising the EU’s IATE Terminological Database to Respond to the Challenges of Today’s Translation World and Beyond.” Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication, 25(2)146–174. Google Scholar logo with link to Google Scholar
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