Title :
Automatic geolocation of the scientific knowledge: Geolocarti
Author :
Iván Darío Ramos Vacca;Víctor Andrés Bucheli Guerrero
Author_Institution :
Escuela de Ingenierí
Abstract :
This work shows the state of the art of the methods for geographical location and analysis of the scientific knowledge production. The methods described are Natural Language Processing and Named Entity Recognition; Metadata Processing; Bibliography and Citations Analysis; Scientific Collaboration Networks; and the Information Aggregators. This article presents the importance of the contribution of geolocation on the analysis of knowledge creation and transference systems at hyperlocal, local and regional levels. An application that performs each one of the methods for the analysis of the scientific production based on the geographic information in Colombia is proposed in this paper.
Keywords :
"Geology","Internet","Computational modeling","Production","Natural language processing","Metadata","Bibliographies"
Conference_Titel :
Computing Colombian Conference (10CCC), 2015 10th
DOI :
10.1109/ColumbianCC.2015.7333454