The semantic technologies underpinning RDF knowledge graphs are primed for data mesh and data fabric architectures — and their synthesis. They’re certainly ideal for crafting data products.

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

Graph (i.e., data): A data structure based on nodes and edges that enables integrating data coming from heterogeneous data sources, from unstructured to structured. A complementary knowledge graph ...

Knowledge graphs are knowledge bases that use graph-structured, semantic data models to interlink data and support intuitive search and exploration of knowledge.

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2023, Joseph Hilger, COO, Enterprise Knowledge LLC ...

Knowledge graphs also capture the complex interrelations of concepts. This fosters a deeper contextual insight, underscoring additional distinct characteristics through connections between concepts.

Knowledge Graphs, by contrast, represent data as a network of nodes (entities) and edges (relationships). They can handle more complex, nuanced queries based on the types of connections, the ...

Connecting the Enterprise Through AI, Knowledge Graphs, and Data FabricsThe impact of AI on KM could be massive. Although organizations are no strangers to implementing various AI technologies into ...