A comparative study of the USA and EU allocation tables using a knowledge graph model. Part II

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This Master Thesis presents the development of a knowledge graph-based tool aimed at facilitating comparative analysis of radio frequency spectrum allocation tables between European countries and the United States. It underscores key differences and similarities in spectrum management practices, with a particular focus on a more detailed examination of radio frequency management within European Union nations. The National Telecommunications and Information Administration defines the radio spectrum as a conceptual tool for organizing and mapping electromagnetic waves, a resource critical for diverse communications across various sectors. As global connectivity intensifies, efficient spectrum management becomes essential for supporting seamless communication and fostering technological innovation. This project addresses the current fragmentation of spectrum information across multiple regulatory frameworks by proposing an integrated approach that combines quantitative and qualitative data into a coherent knowledge graph.

​This Master Thesis presents the development of a knowledge graph-based tool aimed at facilitating comparative analysis of radio frequency spectrum allocation tables between European countries and the United States. It underscores key differences and similarities in spectrum management practices, with a particular focus on a more detailed examination of radio frequency management within European Union nations. The National Telecommunications and Information Administration defines the radio spectrum as a conceptual tool for organizing and mapping electromagnetic waves, a resource critical for diverse communications across various sectors. As global connectivity intensifies, efficient spectrum management becomes essential for supporting seamless communication and fostering technological innovation. This project addresses the current fragmentation of spectrum information across multiple regulatory frameworks by proposing an integrated approach that combines quantitative and qualitative data into a coherent knowledge graph. Read More