Research Article
A MapReduce-Based Method for Achieving Active Technological Surveillance in Big Data Environments
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@INPROCEEDINGS{10.1007/978-3-030-77417-2_19, author={Daniel San Martin Pascal Filho and Douglas Dyllon Jeronimo de Macedo and Mois\^{e}s Lima Dutra}, title={A MapReduce-Based Method for Achieving Active Technological Surveillance in Big Data Environments}, proceedings={Data and Information in Online Environments. Second EAI International Conference, DIONE 2021, Virtual Event, March 10--12, 2021, Proceedings}, proceedings_a={DIONE}, year={2021}, month={6}, keywords={Technological surveillance MapReduce Big Data Ontologies}, doi={10.1007/978-3-030-77417-2_19} }- Daniel San Martin Pascal Filho
Douglas Dyllon Jeronimo de Macedo
Moisés Lima Dutra
Year: 2021
A MapReduce-Based Method for Achieving Active Technological Surveillance in Big Data Environments
DIONE
Springer
DOI: 10.1007/978-3-030-77417-2_19
Abstract
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.
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