Semantic search in practice The engineering chief used the example of 'Taj Mahal' to explain what the Knowledge Graph does. Pointing out that the term could apply to the monument, a musician, an ...

Knowledge Graph Extended With Schema.org markup, from Google I/O 2013 (Click to enlarge.) ...

Knowledge Graph searches will likely never replace Google’s traditional keyword-based search — semantic search and literal search are kind of two different tools good at two separate tasks ...

KM & AI Summit 2025, March 17 - 19 in beautiful Scottsdale, Arizona. Register Now! Semantic Search with Knowledge Graphs Traditional keyword-based search engines often fall short in delivering ...

Knowledge graphs can help companies move away from traditional databases and use the power of natural language processing, machine learning, and semantics to better leverage data.

Knowledge graphs and ontologies form the backbone of the Semantic Web by enabling the structured representation and interconnection of data across diverse domains. These frameworks allow for the ...

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.

“The Semantic Knowledge Graphing Market was valued at USD 1.61 billion in 2023 and is projected to reach USD 5.07 billion by 2032, expanding at a CAGR of 13.64% from 2024 to 2032.” ...

In Cambridge Semantics’ knowledge graph factory, the ETL process copies data from each system and puts it into the format for semantics standards that capture the structure of the information ...

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 examples of this ...