Extracting knowledge-rich information from definitions: A corpus-based approach to building a conceptual-based terminological resource

Margarida Ramos; Rute Costa

Extracting knowledge-rich information from definitions: A corpus-based approach to building a conceptual-based terminological resource

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

This paper aims to describe a text-mining approach on a domain corpus (cork) within the theoretical framework of the dual dimension of terminology to create a terminological dictionary and correlate it with an ontology. We will make some considerations on (i) domain specificities; (ii) lexical markers; (iii) automatic corpus processing using Sketch Engine; (iv) representation of lexical networks using CmapTools; and (v) representation of the concept system using Protégé. The goal of the ontology is to logically support the coherence and quality of the natural language definitions contained in the terminological resource.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Multilingual Digital Terminology Today (MDTT 2023)
Editors	Giorgio Di Nunzio, Rute Costa, Federica Vezzani
Publisher	RWTH Aachen University
Pages	1-14
Number of pages	14
Publication status	Published - Jul 2023
Event	Multilingual digital terminology today. Design, representation formats and management systems (MDTT 2023) - NOVA Medical School, Lisboa, Portugal Duration: 29 Jun 2023 → 30 Jun 2023 http://mdtt2023.dei.unipd.it/en/

Publication series

Name	CEUR Workshop Proceedings
Publisher	RWTH Aachen University
Volume	3427
ISSN (Electronic)	1613-0073

Conference

Conference	Multilingual digital terminology today. Design, representation formats and management systems (MDTT 2023)
Country/Territory	Portugal
City	Lisboa
Period	29/06/23 → 30/06/23
Internet address	http://mdtt2023.dei.unipd.it/en/

Keywords

Terminology
Terminology Management
Corpus linguistics
Text mining
Knowledge organization
Ontology

Access to Document

Extracting knowledge-rich information from definitionsFinal published version, 1.36 MBLicence: CC BY

https://ceur-ws.org/Vol-3427/Licence: Unspecified

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Multilingual digital terminology today. Design, representation formats and management systems (MDTT 2023)
Maria Rute Vilhena Costa (Chair), Giorgio Di Nunzio (Chair), Federica Vezzani (Chair), Raquel Alves da Silva (Member of programme committee), Ana Salgado (Member of programme committee), Sara Carvalho (Organiser) & Margarida Ramos (Organiser)
29 Jun 2023 → 30 Jun 2023
Activity: Participating in or organising an event › Participation in conference

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Cite this

Ramos, M., & Costa, R. (2023). Extracting knowledge-rich information from definitions: A corpus-based approach to building a conceptual-based terminological resource. In G. D. Nunzio, R. Costa, & F. Vezzani (Eds.), Proceedings of the 2nd International Conference on Multilingual Digital Terminology Today (MDTT 2023) (pp. 1-14). (CEUR Workshop Proceedings; Vol. 3427). RWTH Aachen University. https://ceur-ws.org/Vol-3427/

Ramos, Margarida ; Costa, Rute. / Extracting knowledge-rich information from definitions : A corpus-based approach to building a conceptual-based terminological resource. Proceedings of the 2nd International Conference on Multilingual Digital Terminology Today (MDTT 2023). editor / Giorgio Di Nunzio ; Rute Costa ; Federica Vezzani. RWTH Aachen University, 2023. pp. 1-14 (CEUR Workshop Proceedings).

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title = "Extracting knowledge-rich information from definitions: A corpus-based approach to building a conceptual-based terminological resource",

abstract = "This paper aims to describe a text-mining approach on a domain corpus (cork) within the theoretical framework of the dual dimension of terminology to create a terminological dictionary and correlate it with an ontology. We will make some considerations on (i) domain specificities; (ii) lexical markers; (iii) automatic corpus processing using Sketch Engine; (iv) representation of lexical networks using CmapTools; and (v) representation of the concept system using Prot{\'e}g{\'e}. The goal of the ontology is to logically support the coherence and quality of the natural language definitions contained in the terminological resource.",

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Ramos, M & Costa, R 2023, Extracting knowledge-rich information from definitions: A corpus-based approach to building a conceptual-based terminological resource. in GD Nunzio, R Costa & F Vezzani (eds), Proceedings of the 2nd International Conference on Multilingual Digital Terminology Today (MDTT 2023). CEUR Workshop Proceedings, vol. 3427, RWTH Aachen University, pp. 1-14, Multilingual digital terminology today. Design, representation formats and management systems (MDTT 2023), Lisboa, Portugal, 29/06/23. <https://ceur-ws.org/Vol-3427/>

Extracting knowledge-rich information from definitions: A corpus-based approach to building a conceptual-based terminological resource. / Ramos, Margarida ; Costa, Rute.
Proceedings of the 2nd International Conference on Multilingual Digital Terminology Today (MDTT 2023). ed. / Giorgio Di Nunzio; Rute Costa; Federica Vezzani. RWTH Aachen University, 2023. p. 1-14 (CEUR Workshop Proceedings; Vol. 3427).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Extracting knowledge-rich information from definitions: A corpus-based approach to building a conceptual-based terminological resource

Abstract

Publication series

Conference

Keywords

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Multilingual digital terminology today. Design, representation formats and management systems (MDTT 2023)

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