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dc.contributor.authorQuisi Peralta, Diego Fernando
dc.contributor.authorRobles Bykbaev, Vladimir Espartaco
dc.contributor.authorSaquicela Galarza, Victor Hugo
dc.contributor.authorLópez Nores, Martín
dc.date.accessioned2018-10-25T19:21:02Z-
dc.date.available2018-10-25T19:21:02Z-
dc.date.issued2018
dc.identifier.isbne:978-1-5386-2363-3, 978-1-5386-2364-0
dc.identifier.issn2474-9044
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/31483-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047445811&origin=inward
dc.descriptionAccording to National Council of Disabilities (CONADIS) currently 425877 persons live in Ecuador with some form of disability. From this group, approximately 1.32% (5,621) people present language difficulties. However, although exist several technological developments, several Ecuadorian centers of special education/rehabilitation there is a lack of adequate support tools based on Information and Communication Technologies (ICT) and intelligent systems. This situation becomes more complicated in the area of speech-language therapy due this area was historically overlooked. For these reasons, in this paper we propose a system to generate a new repository of mobile applications for people with disabilities and language and communication disorders. To achieve this a process that allows mobile applications to automatically collect and through the natural language processing and vector space models generated a degree of belonging to issue search and generate the first mobile application repository will be generated. Our proposal relies on data mining techniques and allows educators as well therapists determining the best apps to support the intervention process of patients with disabilities. To this aim we have developed metrics to compare mobile apps from Google Play Store and IOS. Our proposal was validated with an analysis performed on 6700 mobile apps and the results are encouraging.
dc.description.abstractAccording to National Council of Disabilities (CONADIS) currently 425877 persons live in Ecuador with some form of disability. From this group, approximately 1.32% (5,621) people present language difficulties. However, although exist several technological developments, several Ecuadorian centers of special education/rehabilitation there is a lack of adequate support tools based on Information and Communication Technologies (ICT) and intelligent systems. This situation becomes more complicated in the area of speech-language therapy due this area was historically overlooked. For these reasons, in this paper we propose a system to generate a new repository of mobile applications for people with disabilities and language and communication disorders. To achieve this a process that allows mobile applications to automatically collect and through the natural language processing and vector space models generated a degree of belonging to issue search and generate the first mobile application repository will be generated. Our proposal relies on data mining techniques and allows educators as well therapists determining the best apps to support the intervention process of patients with disabilities. To this aim we have developed metrics to compare mobile apps from Google Play Store and IOS. Our proposal was validated with an analysis performed on 6700 mobile apps and the results are encouraging.
dc.language.isoes_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.source2018 28th International Conference on Electronics, Communications and Computers, CONIELECOMP 2018
dc.subjectCommunication And Language
dc.subjectData Mining
dc.subjectDigital Repository
dc.subjectMobile Applications
dc.titleData repository of mobile applications for people with disabilities in the area of communication and language using data mining techniques
dc.typeARTÍCULO DE CONFERENCIA
dc.description.cityCholula
dc.ucuenca.idautor0104616461
dc.ucuenca.idautor0300991817
dc.ucuenca.idautor0103599577
dc.ucuenca.idautor0000-0002-4802-607x
dc.identifier.doi10.1109/CONIELECOMP.2018.8327203
dc.ucuenca.embargoend2050-12-28
dc.ucuenca.versionVersión publicada
dc.ucuenca.embargointerno2050-12-28
dc.ucuenca.areaconocimientounescoamplio06 - INFORMACION Y COMUNICACION (TIC)
dc.ucuenca.afiliacionQuisi, D., Universidad Politecnica Salesiana, Cuenca, Ecuador
dc.ucuenca.afiliacionRobles, V., Universidad Politecnica Salesiana, Cuenca, Ecuador
dc.ucuenca.afiliacionSaquicela, V., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
dc.ucuenca.afiliacionLópez, M., Universidad de Vigo, Pontevedra, España
dc.ucuenca.volumenvolumen 2018-January
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.factorimpacto
dc.ucuenca.numerocitaciones0
dc.ucuenca.areaconocimientofrascatiamplio1. CIENCIAS NATURALES Y EXACTAS
dc.ucuenca.paisMEXICO
dc.ucuenca.conferencia2018 International Conference on Electronics, Communications and Computers (CONIELECOMP)
dc.ucuenca.areaconocimientofrascatiespecifico1.2 INFORMATICA Y CIENCIAS DE LA INFORMACION
dc.ucuenca.areaconocimientofrascatidetallado1.2.1 CIENCIAS DE LA COMPUTACION
dc.ucuenca.areaconocimientounescoespecifico061 - INFORMACION Y COMUNICACION (TIC)
dc.ucuenca.areaconocimientounescodetallado0612 - BASE DE DATOS, DISENO Y ADMINISTRACION DE REDES
dc.ucuenca.fechainicioconferencia2018-02-21
dc.ucuenca.fechafinconferencia2018-02-23
dc.ucuenca.organizadorconferenciaJuan Horacio Espinoza
dc.ucuenca.comiteorganizadorconferenciaCésar Martínez, UDLA, IEEE
dc.ucuenca.urifuentehttps://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8320203
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