TY - JOUR AU - Guinea de Salas, Alejandro AU - López Pérez, Kepa AU - Navarro Cueto, Daniel PY - 2020/03/01 Y2 - 2024/03/29 TI - GEOBIG. Open data big volumes management JF - REVISTA INTERNACIONAL MAPPING JA - MAPPING VL - 29 IS - 199 SE - Artículos Científicos DO - UR - https://ojs.revistamapping.com/MAPPING/article/view/257 SP - 46-50 AB - <p>The available geographic information is growing by leaps and<br>bounds. New data is published every day, often through open<br>data portals, which means investments that are not negligible for<br>its creation and maintenance. However, they are often difficult<br>to reuse, given their heterogeneity and the variety of forms of<br>access.<br>At the same time, technology related to artificial intelligence has<br>undergone a great advance, however, it is difficult to apply these<br>technologies to large open data sets, due to their dispersion and<br>the difficulties in processing them. Therefore, it is necessary to<br>prepare the data prior to any analysis process.<br>It will be exposed how more than 125,000 layers from all over the<br>world have been preprocessed, containing more than 250 million<br>elements, and how they have been prepared and integrated into<br>an architecture capable of applying processes in an automated<br>way, regardless of their characteristics.<br>Aspects such as identification and access to data, and the processes<br>followed until obtaining a system capable of processing<br>thousands of layers in parallel, such as enrichment of metadata<br>are exposed. The system allows to obtain the maximum value<br>of the huge amount of geographic data available, whether they<br>were INSPIRE data or not.</p> ER -