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Modelo de aprendizaje ontológico en el dominio de e-recruitment asociado a perfiles profesionales en TI y apoyado por redes sociales profesionales

dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.advisorGuzmán Luna, Jaime Alberto
dc.contributor.authorUribe Rendón, Andrea
dc.date.accessioned2023-10-19T14:28:49Z
dc.date.available2023-10-19T14:28:49Z
dc.date.issued2023-10-18
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/84814
dc.descriptionilustraciones, diagramas
dc.description.abstractEl aprendizaje ontológico permite la creación automática o semiautomática de ontologías de cierto dominio, identificando clases, jerarquía de clases y restricciones a través de técnicas de recuperación de información, aprendizaje automático, aprendizaje profundo y procesamiento de lenguaje natural (PLN). En este trabajo se construye un modelo de aprendizaje ontológico que utiliza modelos, técnicas y algoritmos combinados (Transformadores, Incrustación de Grafos de Conocimiento (KGE) y Reglas de asociación) para elaborar un lenguaje común de competencias y ocupaciones en el área de e-recruitment, específicamente, profesionales en Tecnologías de la Información (TI). La fuente de extracción de información es una red social profesional seleccionada como caso de uso. Se define la ontología base a partir de la cual se inicia el aprendizaje, se diseña un modelo conceptual de aprendizaje ontológico que permite extraer clases, jerarquía de clases y restricciones para la ontología base. Seguido a esto, se implementa este modelo conceptual para obtener resultados de extensión de la ontología base, se evalúa la ontología aprendida a través de una golden ontology y se valida la ontología obtenida por medio de una aplicación para el dominio de e-recruitment. (Texto tomado de la fuente)
dc.description.abstractOntological learning allows the automatic or semi-automatic creation of ontologies in a domain, identifying classes, class hierarchy and restrictions through information retrieval techniques, machine learning and natural language processing (NLP). The aim of this document is built an ontological learning model that uses combined models, techniques and algorithms (Transformers, Knowledge Graph Embedding (KGE) and Association Rules) to develop a common language of skills and occupations in the e-recruitment area, specifically, Information Technology (IT) professionals. The source of information extraction is a selected professional social network as a use case. The base ontology from which learning begins is defined, a conceptual model of ontological learning is designed that allows information extract information for classes, hierarchy classes and the restrictions for the base ontology. Following this, this conceptual model is applied to obtain extension results of the base ontology, the learned ontology is evaluated through a golden ontology and the obtained ontology is validated through an application for the e-recruitment domain.
dc.format.extentxx, 218 p{aginas
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::001 - Conocimiento
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::003 - Sistemas
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::005 - Programación, programas, datos de computación
dc.subject.ddc620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
dc.titleModelo de aprendizaje ontológico en el dominio de e-recruitment asociado a perfiles profesionales en TI y apoyado por redes sociales profesionales
dc.typeTrabajo de grado - Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.publisher.programMedellín - Minas - Maestría en Ingeniería - Analítica
dc.contributor.researchgroupSistemas Inteligentes Web (Sintelweb)
dc.description.degreelevelMaestría
dc.description.degreenameMagíster en Ingeniería - Analítica
dc.description.methodsSe realiza la revisión sistemática de la literatura basada en la Metodología de Kitchenham que consta de tres etapas: planificar la revisión, conducir la revisión y documentar la revsión.
dc.description.researchareaWeb semántica
dc.identifier.instnameUniversidad Nacional de Colombia
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourlhttps://repositorio.unal.edu.co/
dc.publisher.facultyFacultad de Minas
dc.publisher.placeMedellín, Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Medellín
dc.relation.indexedRedCol
dc.relation.indexedLaReferencia
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.lembAprendizaje automático (Inteligencia artificial)
dc.subject.lembMachine learning
dc.subject.lembProcesamiento electrónico de datos en la educación
dc.subject.lembEducation - Data processing
dc.subject.lembProfesionales de información
dc.subject.lembInformation professionals
dc.subject.proposalAprendizaje ontológico
dc.subject.proposalTransformadores
dc.subject.proposalIncrustación de grafos de conocimiento
dc.subject.proposalReglas de asociación
dc.subject.proposalE-recruitment
dc.subject.proposalTecnologías de la información
dc.subject.proposalRedes profesionales
dc.subject.proposalOntological learning
dc.subject.proposalTransformers
dc.subject.proposalKnowledge Graph Embedding
dc.subject.proposalAssociation rules
dc.subject.proposalE-recruitment
dc.subject.proposalInformation Technology
dc.subject.proposalProfessional social networks
dc.title.translatedOntological learning model in the e-recruitment domain associated with IT professional profiles and supported by professional social networks
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2
dcterms.audience.professionaldevelopmentPúblico general
dc.description.curricularareaÁrea Curricular de Ingeniería de Sistemas e Informática
dc.contributor.orcidGuzmán Luna, Jaime Alberto [0000-0003-4737-1119]
dc.contributor.orcidUribe Rendón, Andrea [0000-0002-1601-0313]
dc.contributor.cvlacURIBE RENDÓN, ANDREA


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