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Deliverable 3.4: Medical terminology. HEREDITARY Project

2024-12-18Documento de Trabalho Acesso aberto
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dc.contributor.authorCosta, Rute
dc.contributor.authorVezzani, Federica
dc.contributor.authorMaria Di Nunzio, Giorgio
dc.contributor.authorRamos, Margarida
dc.contributor.authorSilva, Raquel
dc.contributor.authorCarvalho, Sara
dc.contributor.authorCanelas, Ana Matilde
dc.contributor.authorBonato, Vanessa
dc.contributor.authorRomanovych, Anna
dc.contributor.authorBoytcheva, Svetla
dc.contributor.institutionDepartamento de Linguística (DL)
dc.contributor.institutionCentro de Linguística da UNL (CLUNL)
dc.date.accessioned2026-01-21T16:15:02Z
dc.date.available2026-01-21T16:15:02Z
dc.date.issued2024-12-18
dc.descriptionUIDB/03213/2020 UIDP/03213/2020
dc.description.abstractThis report outlines a methodology that addresses both conceptual and linguistic dimensions of terminology with the prime aim to enhance knowledge representation and promote informed communication within the medical domain, especially for the diseases under study in HEREDITARY. Foundational to this initiative is an approach that merges terminological theory with practical application. The theoretical underpinnings emphasize the dual nature of terminology: it operates both as a conceptual structure that reflects domain knowledge and a linguistic system of specialized terms. This conceptual-linguistic synergy ensures terminological accuracy, consistency, and clarity, ultimately improving the quality of healthcare information transfer. To demonstrate this dual-dimension approach we will go through an in-depth exploration of the gut-brain axis in existing biomedical terminological resources. The methods aim to illustrate how conceptual and linguistic structuring supports better domain understanding, corpus building, and expert engagement. Domain-corpus building and subsequent exploitation is a gateway to domain knowledge verbally expressed in texts written by experts. Hence, documenting the criteria, typologies, and metadata of gathered texts ensures a solid empirical foundation for terminology extraction. Various methods are presented for automatic and semi-automated term extraction. Tailored for the medical sector, these approaches address complexity and domain specificity, thus improving the precision and relevance of the extracted terms. Validating the terminology to ensure both linguistic accuracy and conceptual integrity is a core activity. By clarifying roles, processes, and the importance of citizen engagement, this validation step ensures that the resulting terminology is both authoritative and accessible to various user communities.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent64
dc.format.extent1534420
dc.identifier.doi10.5281/zenodo.14628022
dc.identifier.otherPURE: 130182957
dc.identifier.otherPURE UUID: 7a8fcfd7-6746-4cb6-8e26-bde0c7ecc0dc
dc.identifier.otherORCID: /0009-0001-5010-0849/work/176388598
dc.identifier.otherORCID: /0000-0002-0505-4863/work/203212353
dc.identifier.otherORCID: /0000-0001-7209-3806/work/203212896
dc.identifier.urihttp://hdl.handle.net/10362/199613
dc.language.isoeng
dc.publisherEuropean Commission
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F03213%2F2020/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F03213%2F2020/PT
dc.titleDeliverable 3.4: Medical terminology. HEREDITARY Projecten
dc.title.subtitleHetERogeneous sEmantic Data integratIon for the guT-bRain interplaYen
dc.typeworking paper
degois.publication.firstPage1
degois.publication.lastPage64
dspace.entity.typePublication
rcaap.rightsopenAccess

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