Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

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 ...

Graph data stores can efficiently model, explore and query data with complex interrelationships across data silos. Knowledge Graphs Connecting data silos is a prerequisite for knowledge management ...

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 ...

The feature engineering is a key element as well. There are also many industry-standard data models, which support RDF and the graph model. For example, Fibo for financial services, HL7 FHIR for ...

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 ...

A Knowledge Graph is a connected graph of data and associated metadata applied to model, integrate and access an organization’s information assets. The knowledge graph represents real-world entities, ...

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 ...