The PDND E-Service Network: A Graph-Based Model from Italian Open Government Data
The PDND E-Service Network: A Graph-Based Model from Italian Open Government Data
Technical report documenting the methodology adopted in the pdnd-eservices-graph project to build a directed weighted graph of the Italian PDND (Piattaforma Digitale Nazionale Dati) interoperability ecosystem from heterogeneous public sources. Nodes and e-services come from official open datasets. Edges are reconstructed by cross-referencing the structured attributes field of the catalogue with institutional documentation, including circulars, operational manuals and public presentations. Large language models are used as analytical instruments to extract and normalise relational information from unstructured documents, with every inferred connection traceable to a public source. The result is a graph of 51 nodes and 86 e-service types covering approximately 89% of the 14,102 published endpoints in the official PDND catalogue.
Companion software released under AGPL-3.0 at https://github.com/engineering87/pdnd-eservices-graph. Live deployment: https://www.pdndgraph.it
weighted network, public sector interoperability, entity resolution, Italy, PDND, open government data, graph theory, bipartite graph, large language models, methodology
weighted network, public sector interoperability, entity resolution, Italy, PDND, open government data, graph theory, bipartite graph, large language models, methodology
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!