A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding ...

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.

Organizations always needed to do a bit of modeling when they started with dbt, Filippova says. With the addition of the semantic model abstraction, the directed acyclic graph (DAG) living in dbt will ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like ...

Semantic Web Company and Ontotext announced that the two organizations are merging to create a knowledge graph and AI powerhouse, Graphwise. Semantic Web Company brings expertise in knowledge ...

The Korean tech giant is acquiring Oxford Semantic Technologies, a U.K.-based knowledge graph startup that has built an AI reasoning engine.

Semantic Web Company and Ontotext today announced that the two companies have merged to become the leading Graph AI provider, Graphwise. Semantic Web Company brings expertise in knowledge ...