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 ...

Enter knowledge-graph-powered data intelligence platforms with metadata management capabilities. Google popularized the term "knowledge graph" in this 2012 blog post.

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what ...

Property graphs such as Neo4j or TigerGraph are extremely popular for building out knowledge graphs. Neo4j is particularly well regarded by developers as easy to get started with, while TigerGraph ...

In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...

A knowledge graph is a conceptual model of the world that is intuitive to understand: entities, their properties and their relationships. The Financial Industry Business Ontology (FIBO) from the EDM ...

Since content knowledge graphs built using Schema.org are expressed as RDF triples, you can use the query language SPARQL to find out which pages a specific entity is mentioned in or how much ...

Data.world, a vendor offering a knowledge graph powered, cloud-native enterprise data catalog solution, has announced it has closed a $26 million round of venture capital funding led by Tech ...