Data repository of mobile applications for people with disabilities in the area of communication and language using data mining techniques

BibTex:
Áreas de investigación:	Sin categoría	Año:	2018
Tipo de publicación:	Artículo en conferencia	Palabras clave:	data mining; disabilities
Autores:	Diego Quisi Peralta, V. Saquicela Galarza 16

Título del libro:	International Conference on Electronics, Communications and Computers (CONIELECOMP)
Páginas:	225-231
Dirección:	Cholula, Mexico
Organización:	IEEE	Mes:	Febrero
ISBN:	978-1-5386-2363-3

@conference{Diego Quisi Peralta2018, author = "Diego Quisi Peralta,16,V. Saquicela Galarza,E. Bernal Merch{\'a}n,P. Suquilanda Cuesta,8", abstract = "According 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.", address = "Cholula, Mexico", booktitle = "International Conference on Electronics, Communications and Computers (CONIELECOMP)", isbn = "978-1-5386-2363-3", keywords = "data mining; disabilities", month = "feb", organization = "IEEE", pages = "225-231", publisher = "IEEE", title = "{D}ata repository of mobile applications for people with disabilities in the area of communication and language using data mining techniques", year = "2018", }
Abstract:	According 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.
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