I will be using the W3C graph standards RDF, OWL and SPARQL in my example. Show Me the Data Catalog Ontology. A data catalog ontology provides the concepts and relationships of how metadata resources ...

For example, a user might input a question like “Which policies have a high-risk rating?” and the LLM can generate a Cypher query to extract the relevant data from the graph. The knowledge ...

According to Gartner’s Top 10 Data and Analytics Trends for 2021, knowledge graphs are the foundation of modern data and analytics, with capabilities to enhance and improve user collaboration ...

But, the killer application of graph is rapid large-scale data integration. Here’s a proven process for realizing the promise of the graph data model, specifically using W3C, RDF and OWL. Zippy Data ...

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 ...

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: The link between data and meaning While Google popularized the term “knowledge graph” in 2012, the concept of representing knowledge as interconnected information has roots ...

LinkedIn, for example, uses a knowledge graph to structure and interconnect data about its members, jobs, titles, and other entities. It uses its knowledge graph to enhance its recommendation ...

The model for the Dimensions Knowledge Graph was built using metaphactory’s semantic modeling interface, which is based on open standards and supports data reusability across all use cases and ...