Segarra Flores, José LuisSumba Toral, Francisco XavierOrtiz Vivar, Jose EnriqueGualan Saavedra, Ronald MarceloEspinoza Mejía, Jorge MauricioSaquicela Galarza, Víctor Hugo2020-05-062020-05-062019978-303021394-71865-0929https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066158158&origin=inwardWe propose a novel unsupervised two-phased classification model leveraging from semantic web technologies for discovering common research fields between researchers based on information available from a bibliographic repository and external resources. The first phase performs coarse-grained classification by knowledge disciplines using as reference the disciplines defined in the UNESCO thesaurus. The second phase provides a fine-grained classification by means of a clustering approach combined with external resources. The methodology was applied to the REDI (Semantic Repository of Ecuadorian researchers) project, with remarkable results and thus proving a valuable tool to one of the main REDI’s goals discover Ecuadorian authors sharing research interests to foster collaborative research efforts.es-ESAuthor-topic classificationData integrationData miningKnowledge baseLinked dataQuery languagesSemantic webAuthor-topic classificationData IntegrationData MiningKnowledge baseLinked DataQuery LanguagesSemantic WebARTÍCULO DE CONFERENCIA10.1007/978-3-030-21395-4_5