3 Energy Industry Knowledge Graph Examples

Join this webinar to learn about the energy industry's data challenges, how to overcome them and hear real world knowledge graph examples used in the energy industry.

This webinar is recorded and available on demand.

energy knowledge graph use cases


Your electrical grid is a graph. Wrapped around this graph, there is knowledge. Knowledge of the transistors, transformers, converters, switches, gates, channels, etc. A semantic knowledge graph of this wisdom can drastically speed up and improve decision making concerning incident response, impact analysis and network management. Ontotext GraphDB is a graph database and knowledge discovery tool compliant with RDF and SPARQL and available as a high-availability cluster.

Join our Energy Industry Webinar on August 30th 12 pm PST, 3 pm EST, 8 pm BST  to discuss managing electricity, natural gas, petroleum, coal, and renewable sources in a semantic knowledge graph.

Featuring our Strategic Technology Director (Former Gartner Analyst), Sumit Pal and Account Executive, Lewis Guess.


  • The energy industry’s challenges 
  • How to overcome such challenges with knowledge graphs
  • 3 energy industry knowledge graph examples


  • Wednesday, August 30th
  • 12 pm PST | 3 pm EST | 8 pm BST

This webinar is for:

  • People in the energy industry 
  • Data enthusiasts
  • Chief Data and Analytics Officers
  • Data Scientists & Engineers
  • Subject Matter Experts (SMEs)
  • Current & future users of GraphDB
  • RDF & Linked Data enthusiasts

Expected duration:

  • 45 minutes

Other Information:

  • This is a live webinar
  • Live Question Answering: Yes
  • Resource After Webinar: Recording and presentation


Sign-up for this webinar

About The Speaker

Sumit Pal

Sumit Pal

Strategic Technology Director

Sumit Pal is an Ex-Gartner VP Analyst in Data Management & Analytics space. Sumit has more than 30 years of experience in the data and Software Industry in various roles spanning companies from startups to enterprise organizations in building, managing and guiding teams and building scalable software systems across the stack from middle tier, data layer, analytics and UI using Big Data, NoSQL, DB Internals, Data Warehousing, Data Modeling, Data Science and middle tier.

Lewis Guess

Lewis Guess

Account Executive

Lewis Guess has been working in the graph database industry for over 6 years on the West Coast, both in Silicon Valley and in San Diego. Lewis is dedicated to helping enterprises solve complex data challenges through semantic graph technology.