Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

But it goes a step further and presents their concept as a “Knowledge Graph-as-a-Service”, which includes a number of building blocks, including Graph Computing Framework; Web and API Access ...

Jim Morris, solution engineer, Progress, and Stephen Reed, senior account manager, Progress, joined DBTA's webinar, Building Knowledge Graphs to Power Your AI Initiatives, to examine how knowledge ...

Graph databases serve roles that extend beyond knowledge graphs as well.” “Graph databases are the data containers for any kind of networked data, including but not limited to knowledge graphs,” said ...

Knowledge graph-based recommender systems are able to help solve these challenges to an extent. In this approach, user and item entities are connected through multiple relationships.

Knowledge graphs are among the most important technologies for the 2020s. Here is how they are evolving, with vendors and standard bodies listening, and platforms becoming fluent in many query ...

Explore the role of content knowledge graphs in enhancing your marketing strategy and improving information retrieval with structured data.

The Knowledge Graph results will now include common symptoms, treatments, typical age group affected by the condition, whether it is critical, and more. Google partnered with the Mayo Clinic to ...

Google’s Knowledge Graph is a little smarter today with the addition of filters and a way to compare two Knowledge Graph items side-by-side. These are some of the Google search updates that the ...