Profiling Linguistic Knowledge Graphs
Blerina Spahiu, Renzo Arturo Alva Principe, Andrea Maurino · BOA (University of Milano-Bicocca) · 2022
Recently the number of approaches that model and interconnect linguistic data as knowledge graphs has experienced outstanding growth. However, despite the increasing availability of applications that manage such data, little attention has been given to their structural features. In this paper, we propose specific metrics to describe the structural features of knowledge graphs. Such metrics are evaluated on linguistic data and our findings provide a basis for a more efficient understanding of linguistic data.