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Título
Profile generation system using artificial intelligence for information recovery and analysis
Autor(es)
Palabras clave
Information recovery
Information fusion
Big data
Profiling
Fecha de publicación
2020-04-15
Editor
Springer Nature
Citación
Chamoso, P., Bartolomé, Á., García-Retuerta, D. et al. Profile generation system using artificial intelligence for information recovery and analysis. J Ambient Intell Human Comput 11, 4583–4592 (2020). https://doi.org/10.1007/s12652-020-01942-y
Resumen
[EN]The advances in data computing and analysis methodologies
have contributed to the added value of data. Several years ago it was
di cult 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 di erentiating the information of di erent people with the
same name by using arti cial 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
speci c 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.
URI
ISSN
1868-5137
DOI
10.1007/s12652-020-01942-y
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