Towards a format for describing networks / 1. Networks and knowledge graphs
Vladimir Batagelj, Tomaž Pisanski, Iztok Savnik, Ana Slavec, Nino Bašić
TL;DR
Open data and FAIR principles motivate a unified, text-based format for describing networks and knowledge graphs. The paper surveys network representations, formal definitions, and the relationship between knowledge graphs and RDF, while outlining how RDF graphs can be viewed as networks and analyzed via derived subnetworks. It presents a framework covering diverse network types (temporal, multirelational, multilevel) and discusses limitations and RDF-based approaches. The work highlights practical implications for interoperable network data formats and demonstrates network-analysis techniques on knowledge graphs, including examples like co-authorship and citations.
Abstract
The relationship between the concepts of network and knowledge graph is explored. A knowledge graph can be considered a special type of network. When using a knowledge graph, various networks can be obtained from it, and network analysis procedures can be applied to them. RDF is a formalization of the knowledge graph concept for the Semantic Web, but some of its solutions are also extensible to a format for describing general networks.