Knowledge Graphs
Aidan Hogan, et al.,
arXiv,
Jun 09, 2025
This paper (135 page PDF) is an introduction to knowledge graphs, where a knowledge graph is "a graph of data intended to accumulate and convey knowledge of the real world, whose nodes represent entities of interest and whose edges represent relations between these entities." The paper outlines different types of knowledge graphs, protocols for querying them using graph patterns, schemas, identity, context, the use of graphs to produce deductive knowledge involving ontologies and semantic entailment, and indictive techniques such as centrality, community, similarity and connectivity. It also discusses frameworks for large-scale graph analysis, graph creation from data sources, quality assessment, publication and access protocols. (It is worth noting that Connectivism is based on physically instantiated graphs where a connection exists between nodes such that a change in one node can result in a change in another node, and where the structure of the graph is plastic, adapting to changes in the states of nodes; in Connectivism nodes need not represent entities per se, though entities may be represented by sets of connections between nodes). Via Russell Jurney.
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