Carvalho, Sara Micaela PereiraRoche, ChristopheCosta, Rute2017-11-082017-11-0820151613-0073PURE: 1996896PURE UUID: 33f4b616-428d-4eaa-b626-320225ccdba0Scopus: 84955246750http://www.scopus.com/inward/record.url?scp=84955246750&partnerID=8YFLogxKhttp://ceur-ws.org/Vol-1495/paper_30.pdfUID/LIN/03213/2013In today's digital society, characterized by the Semantic Web and by Linked Data, ontologies, in the sense of Knowledge Engineering, have paved the way for new perspectives for Terminology, namely in what concerns the operationalization of terminological products. The collaborative work involving Terminology and ontologies has led to the emergence of new theoretical perspectives, one of which being Ontoterminology. This approach aims to reconcile Terminology's linguistic and conceptual dimensions whilst maintaining their fundamental differences and, in addition, enables the construction of a computer-readable representation of a given conceptualization. Bearing this in mind, this paper presents the EndoTerm project, a multilingual resource within the medical domain - with as the core concept - that comprises both verbal and nonverbal representations and that can be computationally represented and manipulated. The presentation of micro-concept systems based on these verbal and non-verbal representations will support a reflection upon the role of the latter in terminology work.112357525engSemantic WebArtificial IntelligenceCollaborative WorkConcept systemsDigital SocietyLinked datumMedical domainsterminologyGeneral Computer Sciencejournal articlehttps://www.scopus.com/pages/publications/84955246750http://ceur-ws.org/Vol-1495/paper_30.pdf