RELEVANCE-BASED OPEN SOURCE INTELLIGENCE (OSINT) COLLECTION

摘要

In certain embodiments, a method for relevance-based open source intelligence (OSINT) collection includes accessing a request for information, determining a first data source associated with the request, and accessing a first data set collected from the first data source by a data collection component. The method further includes applying natural language processing to the first data set to generate a processed first data set and determining an aggregate relevance score associated with the first data source. The aggregate relevance is determined by determining a number of individual relevance scores associated with the first data source and aggregating the individual relevance scores. Each individual relevance score is determined based on a comparison of the processed first data set and a corresponding relevance criterion of a number of relevance criteria. The method further includes storing the aggregate relevance score associated with the first data source.