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 ...

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 ...

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

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 ...

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 ...

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 ...

Knowledge graphs and semantic technologies have emerged as transformative tools in geoscience, offering a structured means to integrate and interpret diverse data streams. These methodologies support ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...

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 ...