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Linking Images and Words

The Description of Specialized Concepts

Bibliographic Data

ID12204635
AuthorsPaul Faber (0000-0003-0581-0005, Universidad de Granada, corresponding author), Pilar León-Araúz (0000-0002-8520-2749, Universidad de Granada), P L Arauz, Juan Antonio Prieto Velasco (0000-0002-8325-0237, Universidad de Granada), Arianne Reimerink (0000-0002-7264-4580, Universidad de Granada)
Year2006
Volume20
Issue1
Pages39-65
Publication date2006-12-12
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInternational Journal of Lexicography (JOURNAL)
Journal identifiersISSN: 0950-3846 • E-ISSN: 1477-4577
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/ijl/ecl038
OpenAlexW2097314971
LanguageEN
Citations received26
References cited3

A crucial issue in terminology management is how specialized concepts should be represented so as to provide the user with an adequate understanding of their meaning as well as sufficient knowledge of their location within the general knowledge structure of a scientific or technical domain. Such a conceptual representation should contain information in various formats. In this regard, linguistic and graphical descriptions of specialized entities play a major role in knowledge representation, especially when both converge to highlight the multidimensional nature of concepts as well as the conceptual relations within a specialized domain. In this article, we explore the nature of the links between the linguistic and graphical description of specialized concepts. In a multimodal conceptual description, we believe that the structured information in terminographic definitions should mesh with the visual information in images for a better understanding of complex and dynamic concept systems. 1

Data science · Domain (mathematical analysis · Domain knowledge · Epistemology · Human–computer interaction · Knowledge representation and reasoning · Linguistics · Meaning (existential · Representation (politics · Terminology · Computer Science · Lexicography and Language Studies · linguistics and terminology studies · Mathematics · Natural Language Processing Techniques · Artificial Intelligence

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Unique citing works26
Citations per year1,53
Citation span2009 - 2026 (18)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 22

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