Janez Ales


Senior Research Scientist, Mathematician, Data & Algorithms, Knowledge Architecture & Innovation


Janez Ales built his first graph back end in the late 1980’s for a heuristic search for Hamilton cycles in cubic graphs, has all three degrees in algebraic/algorithmic graph theory, and has been working on KGs at scale at BASF since 2018. In 2019 he built a 55 billion entity graph on the world’s journal and patent meta data with detailed annotations, including a chemistry ontology and BASF reports. He contributes to a development of an in memory horizontally scalable graph computational platform (BASF, DerwenAI), has programmed (optimization) algorithms in over a dozen of computer languages, and currently works on business impact KGs at BASF.

Talks and Events

Business Impact KGs and Visualisation of Relationship Context

Business impact datasets from supply chains are modelled on KGs with emphasis on rich relationship context. KGs vary in scale from millions to billions of entities and require parallel processing techniques for building, traversing, and computation and are built on an in memory horizontally scalable graph computational platform developed at BASF in cooperation with DerwenAI. Visualisations of relationship context are presented using Graphistry.

Track: Ontologies, Taxonomies and Data Modeling

Session Topics:

  • Business Use Cases
  • KG Modelling
  • Ontologies
  • NLP