Ontotext

NOVEMBER 4, 2021

In the previous post, we talked about data virtualization and how Ontotext’s RDF database for knowledge graphs GraphDB provides the tools for the full journey from graphs to relational tables and back. This post continues our series in which we want to provide an overview of what we do and how our webinars fit into it.

Metadata 98

Metadata Visualization Modeling Enterprise 98

Ontotext

JUNE 10, 2021

Graph Databases vs Relational Databases. Ironically, relational databases only imply relationships between data points by whatever row or column they exist in. However, when it comes to queries that involve large and highly interconnected master data, the performance is solidly in favour of graph databases like GraphDB.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Ontotext

OCTOBER 7, 2020

An ontology or a knowledge graph of any appreciable size requires some effort on the part of the consumer before it becomes a useful tool. Knowledge of the subject domain is always helpful, but rarely sufficient as there are many choices to be made in representing domain knowledge as data in a graph. FIBO Overview.

Finance 59

Finance Visualization Modeling Metadata 59

Ontotext

FEBRUARY 23, 2023

Enterprise knowledge graphs (EKG) require graph databases, which serve multiple purposes. The engines must facilitate the advanced data integration and metadata data management scenarios where an EKG is used for data fabrics or otherwise serves as a data hub between diverse data and content management systems. This era is over!

Publishing 52

Publishing Metadata Optimization Testing 52

Ontotext

OCTOBER 28, 2021

In our previous post, we covered the basics of how the Ontotext and metaphacts joint solution based on GraphDB and metaphactory helps customers accelerate their knowledge graph journey and generate value from it in a matter of days. LinkedLifeData Inventory Pre-loaded In GraphDB. The Background Story.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52