Knowledge Graphs: How Linked Entities and Relationships Structure Information for AI

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This chapter from the STATERA Library's Knowledge Representation volume explains knowledge graphs as structured representations of entities, their attributes, and the relationships connecting them. Unlike fragmented records or unstructured documents, these graphs capture how real-world objects and concepts relate, enabling AI systems to organize information and support reasoning. The text describes nodes and edges, subject-predicate-object triples, and the distinction between entity identity and textual references, along with entity resolution. It also covers ontologies, data models such as RDF and labeled property graphs, construction and quality assurance, and reasoning methods including embeddings.

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