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

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval.

Knowledge graphs also allow you to create structures for the relationships in the graph. You can tell a graph that parents have children and parents can be children and children can be brothers or ...

KgBase, or Knowledge Graph Base, is a collaborative, robust database with versioning, analytics & visualizations. With KgBase, any community or individual can create knowledge graphs to build insights ...

Semantic search: A knowledge graph stores meanings of the entities; hence, knowledge graph-powered search is referred to as “ semantic search,” or search enriched with meaning.

Semantic Web Company brings expertise in knowledge engineering, semantic AI and intelligent document processing, while Ontotext brings the most versatile graph database engine and state-of-the-art AI ...

Today, content knowledge graphs represent a shift from thinking of creating content as a content manager’s job to the opportunity for SEO professionals to create an interconnected content data ...

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, explained the basics of knowledge graphs and how they leverage natural-language processing to automate the ...

Yext Brain a local knowledge graph. At the event, the company announced Yext Brain, which it described in an email as “a complete reimagination of Yext’s core platform.” ...

Those skilled in creating and managing knowledge graphs are a hot commodity in the Silicon Valley labor market. Many large tech firms employ large teams of ontologists and Semantic Web experts.