IOPE: Interactive Ontology Population and Enrichment guided by ontological constraint (Technical Report)

Autor: Baghernezhad-Tabasi, Shadi, Rousset, Marie-Christine, Druette, Loïc, Jouanot, Fabrice, Meurger, Celine
Přispěvatelé: ScaLable Information Discovery and Exploitation [Grenoble] (SLIDE ), Laboratoire d'Informatique de Grenoble (LIG), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, LIG (Laboratoire informatique de Grenoble), ANR-19-P3IA-0003,MIAI,MIAI @ Grenoble Alpes(2019)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: [Research Report] LIG (Laboratoire informatique de Grenoble). 2021
Popis: In this paper, we focus on the construction of specialized ontologies that capture skills of experienced experts in a particular domain with the goal to share them with a larger community of trainee or less experienced experts in the domain. Our main contribution is the automatic construction of a Graphical User Interface (GUI), built from the ontological constraints of a given ontology, as the support of the controlled update process of the considered ontology. In an extensive set of experiments we discussed the effectiveness and efficiency of our proposed approach in a specialized medical domain.
Databáze: OpenAIRE