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 ...

#4 Data Migration. One of the most powerful applications for semantic Knowledge Graphs is data migration. Populating a data lake, consolidating mortgage systems or on-boarding new data feeds are all ...

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 ...

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

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 ...