Ontotext

SEPTEMBER 23, 2021

So, we started this series by introducing knowledge graphs & their application in data management and how to reason with big knowledge graphs & use graph analytics. From Strings to Things with the GraphDB 9.4 From Strings to Things with the GraphDB 9.4 All of our webinars are available on demand.

Optimization 97

Optimization Business Intelligence Data Collection Enterprise 97

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. Read on and watch the webinars to get convinced. Read on and watch the webinars to get convinced.

Metadata 98

Metadata Visualization Modeling Enterprise 98

Ontotext

AUGUST 2, 2024

Customers can take classes in which one of our experts trains them in the use of GraphDB , semantic technology , or the assembly of a semantic technology proof of concept. The Developer learning path also teaches a student about the basic concepts behind knowledge graphs and the relevant standards.

Interactive 81

Interactive Technology Data Quality Modeling 81

Ontotext

MAY 23, 2024

As you might guess from its name, GraphDB stores data in a graph data structure, which is much more flexible than the rigid table structures used by relational database managers. Relational databases have been around for a long time, though, and vast amounts of data are stored in them.

Business Intelligence 69

Business Intelligence Management IT Technology 69

Ontotext

DECEMBER 2, 2021

In our previous blog posts of the series, we talked about how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts as well as how to adapt and scale our basic solution. And the LAZY system from our previous blog posts is at the threshold of that important step.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

Ontotext

FEBRUARY 18, 2021

The beauty and power of knowledge graphs is their abstraction away from the fiddly implementation details of our data. The data and information is organized in a way human-users understand it regardless of the physical location of the data, the format and other low-level technical details. Firstly, There’s Federation.

Cost-Benefit 59

Cost-Benefit Business Intelligence Technology Optimization 59

Ontotext

AUGUST 24, 2023

Standard provenance models Graph Replace is probably the most straightforward model. The < [link] > graph groups the provenance of all statements. The update is to drop and re-import the same graph data into a single atomic transaction. The challenge is how to replace your old records with new ones.

Data Integration 52

Data Integration Modeling Business Objectives Optimization 52