Recently, I had an enlightening conversation with Gemini Data about their approach to creating what I’m calling “semantic connectors.” These connectors will help immensely in making graph ETL work ...

Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic Graph Engines represent the next major paradigm after databases, ...

The Enterprise Knowledge Graph concept strikes at the core of what every data-driven organization is trying to do: translate data assets into a competitive advantage unique to those assets and the ...

Kobai this week announced the launch of Saturn, a new offering designed to bring the power of the knowledge graph to data already stored in lakehouses. By creating a semantic layer that sits atop ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

For most of us, the word graph brings back memories (not always pleasant) of pencils and rulers and quadrille ruled paper, though a more recent generation may think instead of pie and bar charts ...

Semantic Table Interpretation is a critical process that transforms tabular data into rich, machine-readable semantic representations by associating table elements with concepts from established ...

For many business professionals, looking for content at work is a lot like looking for a needle in a haystack or getting lost in a maze. Content management systems such as Microsoft SharePoint have ...

Google has made its leap into semantic search with the Knowledge Graph, which aims to deliver more relevant search results by taking context into account. On Wednesday, Google's head of engineering ...