On an average, onboarding a Data professional to any large organization takes around 3 months for him to really understand business and data models within the core applications. Once he understands he shall be productive. Allianz GraphXL solves this challenge and is now been used by Business Anal...

Graph-based technologies are appealing because they promise more flexibility than other database technologies. However, it turns out that graph-based databases still require data to be structured and are not that different from traditional databases, therefore creating disappointment for end user...

When people think of knowledge graphs and graph analytics they reflexively think they need a specialized database. That answer is often incomplete or just wrong for their workload.
We’ll analyze the 11 access patterns involved in graph analytics and build a logical and physical reference architec...

The EU Knowledge Graph at the European Commission

The European Commission is maintaining a Knowledge Graph using Wikibase, the same software that is running behind Wikidata (one of the most successful public Knowledge Graphs). In this talk we describe:
- the content of the EU Knowledge Graph
...

Graphs help answer complex questions, but they have traditionally been far too slow to be used in high-volume streaming data applications. While graph _databases_ have served batch-processing use cases for decades, a new streaming architecture is showing profound results for modern high-volume da...

After 10+ years implementing knowledge graph solutions across many industries, we created graph.bulid, to greatly lower the time and cost of creating graph models, semantic or property, from any data.

First we will demonstrate our highly configurable, highly available, cloud ready, horizotally...

A multi-model database allows multiple data representations to coexist in the same instance. In simpler times, that meant two models -- such as document and graph -- in one. In this presentation, I tackle the multi-model dream of tomorrow: a single model with data spanning many and various databa...

How to build a Decentralised Knowledge Graph (or a Linked Data Mesh) that will allow an organisation to connect most (theoretically all) of its data together.

QAnswer: Question Answering over Knowledge Graphs and Text

Web APIs have become a de-facto standard to enable HTTP-based access to machine-processable data. In this talk, I will present the SPARQL micro-service architecture, a lightweight approach that bridges web APIs and RDF knowledge graphs by making it possible to enforce a uniform data model over mu...