| Popis: |
Technological Surveillance systems stand out as a structured way to assist organizations in monitoring their internal and external technological environments, in order to anticipate changes. However, since the volume of digital data available keeps growing, it becomes increasingly complex to keep this type of system running without proper automation. This paper proposes an automated MapReduce-based method for technological Surveillance in Big Data scenarios. A prototype was developed to monitor key technologies in specialized portals in the Furniture and Wood sector, in order to illustrate the proposed method. The proposal was evaluated by industry experts, and the preliminary results obtained are very promising. |
