Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. 10 Steps toward a Data Fabric with Knowledge Graphs.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

OCTOBER 28, 2021

In the context of the FROCKG project, we have connected metaphactory to this knowledge graph created with and hosted in GraphDB. Let’s first have a look at the knowledge graph management capabilities provided by metaphactory. Visual Ontology Modeling With metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

FEBRUARY 21, 2024

The examples below use OpenAI’s ChatGPT, but they can be applied against other LLM chatbots, including self-hosted ones. However, Talk to Your Graph manages to answer us when we ask: We can modify the query template that ChatGPT uses for query generation to include additional filters such as author, creation time of the texts or others.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64