Título:
Profile generation system using artificial intelligence for information recovery and analysis.
Profile generation system using artificial intelligence for information recovery and analysis.
Autores:
Chamoso Santos, Pablo; Bartolomé del Canto, Álvaro; García Retuerta, David; Prieto Tejedor, Javier; de la Prieta Pintado, Fernando
Revista:
Journal of Ambient Intelligence and Humanized Computing . pp. 1-10. Springer.
Fecha de Publicación:
April 2020
ISSN:
1868-5137
The advances in data computing and analysis methodologies have contributed to the added value of data. Several years ago it was difficult to imagine that we would ever be able to extract such a large amount of information from the Internet. All this thanks to the ability of current techniques to process large volumes of data in a short period of time. The Internet provides access to a large amount of unstructured or unlabelled data, which are hard to retrieve for any human due to the lack of knowledge of the available sources of information. Moreover, in many cases people are unaware of the online availability of their personal data. This article presents a system for retrieving personal information from the Internet on the basis of several input criteria. The system is capable of differentiating the information of different people with the same name by using artificial intelligence techniques. In the conducted case study, the information has been gathered from sources containing information about people living in Spain, but it could be adapted to the specific sources of information of other countries. The system has been validated in a case study which included several participants and the obtained results have been quite satisfactory.