The role of linked open data (LOD): A perspective based on open-source intelligence (OSINT)

Everyday millions of open data sources available on the Web are generated, which through several and different processes can be viable as intelligent data sources for decision making and activities related to their consumption. This article proposes a study based on a descriptive statistical methodology, to carry out an analysis of the growth of linked open data, under the principles of Linking Open Data (LOD) and its potential through intelligent data sources (OSINT). The study aims to analyse the structures that allow a series of guidelines in order to verify the validity and linkage of OSINT under principles based on LOD. Finally, some recommendations and actions are presented to determine the main actors of the different data sources to add cadence to the LOD resource release process.