Methodology for the standardization of terminological resources

Vezzani, Federica; Nunzio, Giorgio Maria Di

doi:10.1075/term.00053.vez

Cited by 8 publications

(7 citation statements)

References 42 publications

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“…Semic analysis is also provided in the medical terminological records contained in the multilingual terminological database TriMED (Vezzani and Di Nunzio 2020). In the resource, semic analysis is obtained by extracting terms from definitions found on websites, and in lexicographic dictionaries and medical terminological dictionaries.…”

Section: Semic Analysis Of Medical Terminologymentioning

confidence: 99%

A Novel Approach to Semic Analysis: Extraction of Atoms of Meaning to Study Polysemy and Polyreferentiality

Bonato,

Di Nunzio,

Vezzani

2024

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Semic analysis is a linguistic technique aimed at methodically factorizing the meaning of terms into a collection of minimum non-decomposable atoms of meaning. In this study, we propose a methodology targeted at enhancing the systematicity of semic analysis of medical terminology in order to increase the quality of the creation of the set of atoms of meaning and improve the identification of concepts, as well as enhance specialized domain studies. Our approach is based on: (1) a semi-automatic domain-specific corpus-based extraction of semes, (2) the application of the property of termhood to address the diaphasic and the diastratic variations of language, (3) the automatic lemmatization of semes, and (4) seme weighting to establish the order of semes in the sememe. The paper explores the distinction between denotative and connotative semes, offering insights into polysemy and polyreferentiality in medical terminology.

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Section: Semic Analysis Of Medical Terminologymentioning

confidence: 99%

A Novel Approach to Semic Analysis: Extraction of Atoms of Meaning to Study Polysemy and Polyreferentiality

Bonato,

Di Nunzio,

Vezzani

2024

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“…A study done in 2006 [98] shows that only 27% of UMLS concepts are non English ones. Several national or international initiatives have gathered or created knowledge resources in languages other than English, such as 21 : UMLF, a unified medical lexicon for French [204]; UTCMLS, a unified traditional Chinese medical language system [197]; MedLexSp 22 , a unified medical lexicon for Spanish [23]; TRIMED 23 , a trilingual terminological resource in English, French and Italian [166].…”

Section: Medical Text Semantic Annotation and Resourcesmentioning

confidence: 99%

Semantic Information Retrieval on Medical Texts

Tamine

Goeuriot

2021

ACM Comput. Surv.

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The explosive growth and widespread accessibility of medical information on the Internet have led to a surge of research activity in a wide range of scientific communities including health informatics and information retrieval (IR). One of the common concerns of this research, across these disciplines, is how to design either clinical decision support systems or medical search engines capable of providing adequate support for both novices (e.g., patients and their next-of-kin) and experts (e.g., physicians, clinicians) tackling complex tasks (e.g., search for diagnosis, search for a treatment). However, despite the significant multi-disciplinary research advances, current medical search systems exhibit low levels of performance. This survey provides an overview of the state of the art in the disciplines of IR and health informatics, and bridging these disciplines shows how semantic search techniques can facilitate medical IR. First,we will give a broad picture of semantic search and medical IR and then highlight the major scientific challenges. Second, focusing on the semantic gap challenge, we will discuss representative state-of-the-art work related to feature-based as well as semantic-based representation and matching models that support medical search systems. In addition to seminal works, we will present recent works that rely on research advancements in deep learning. Third, we make a thorough cross-model analysis and provide some findings and lessons learned. Finally, we discuss some open issues and possible promising directions for future research trends.

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“…Ce sce ´nario a e ´galement ouvert la voie a `la fondation du paradigme de la terminologie FAIR. 2 La terminologie FAIR est la premie `re initiative visant a `fournir un ensemble de lignes directrices pour une organisation optimale des donne ´es, des me ´tadonne ´es et des infrastructures terminologiques conformes aux principes FAIR (Vezzani et Di Nunzio, 2020;Vezzani, 2021Vezzani, , 2022. Le paradigme est base ´sur l'adoption des principales normes ISO TC 37/SC 3 pour la gestion des ressources terminologiques.…”

Section: Introductionunclassified

“…Indeed, this new interdisciplinary figure should handle both the quality of the terminological data and the way the terminological resource is structured to ensure, for example, its accessibility and reuse.The principles of findability, accessibility, interoperability, and reusability (FAIR) of digital resources (Wilkinson et al, 2016) promoted by the European Open Science Cloud 1 Association have contributed significantly to shape the main ideas behind the Digital Terminology approach.This scenario also paved the way for the foundation of the FAIR terminology paradigm. 2 FAIR terminology is the first initiative aiming at providing a set of guidelines for the optimal organization of terminological data, metadata, and infrastructure compliant with the FAIR principles (Vezzani and Di Nunzio, 2020;Vezzani, 2021Vezzani, , 2022. The paradigm is based on the adoption of the main ISO TC 37/SC 3 standards for the management of terminology resources.…”

mentioning

confidence: 99%

“…This scenario also paved the way for the foundation of the FAIR terminology paradigm. 2 FAIR terminology is the first initiative aiming at providing a set of guidelines for the optimal organization of terminological data, metadata, and infrastructure compliant with the FAIR principles (Vezzani and Di Nunzio, 2020;Vezzani, 2021Vezzani, , 2022. The paradigm is based on the adoption of the main ISO TC 37/SC 3 standards for the management of terminology resources.…”

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Multilingual digital terminology: Introduction to the special issue

Vezzani

Nunzio

2023

Digital Scholarship in the Humanities

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Digital Terminology is a novel approach to the classical discipline of Terminology that includes all the activities for the design, implementation, and management of digital resources collecting terminological data and metadata for a specialized domain (Vezzani, 2022).In this context, the terminologist of the digital age is not only concerned with the conceptual and linguistic representation of terminology, but also open to dialogue with the structural requirements necessary to preserve and manage a digital resource. Indeed, this new interdisciplinary figure should handle both the quality of the terminological data and the way the terminological resource is structured to ensure, for example, its accessibility and reuse.The principles of findability, accessibility, interoperability, and reusability (FAIR) of digital resources (Wilkinson et al., 2016) promoted by the European Open Science Cloud 1 Association have contributed significantly to shape the main ideas behind the Digital Terminology approach.This scenario also paved the way for the foundation of the FAIR terminology paradigm. 2 FAIR terminology is the first initiative aiming at providing a set of guidelines for the optimal organization of terminological data, metadata, and infrastructure compliant with the FAIR principles (Vezzani and Di Nunzio, 2020;Vezzani, 2021Vezzani, , 2022. The paradigm is based on the adoption of the main ISO TC 37/SC 3 standards for the management of terminology resources.

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Methodology for the standardization of terminological resources

Cited by 8 publications

References 42 publications

A Novel Approach to Semic Analysis: Extraction of Atoms of Meaning to Study Polysemy and Polyreferentiality

A Novel Approach to Semic Analysis: Extraction of Atoms of Meaning to Study Polysemy and Polyreferentiality

Semantic Information Retrieval on Medical Texts

Multilingual digital terminology: Introduction to the special issue

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