Knowledge Graphs Intro

Wouter Beek (wouter@triply.cc)

Knowledge Graphs

Gartner Hypecycle, August 2018

Knowledge Graphs:
The Network Effect for Data

What's the Network Effect?

The value of a network is proportional to the square of the number of connected nodes.

Exponential growth

The number of hosts on the Internet.

The same organization that standardized the WWW is also standardizing Knowledge Graphs

Linked (Open) Data

Source: http://5stardata.info

How Big is the Open Knowledge Graph?

Store Large Knowledge Graphs

Fernández el al. 2013. ‘Binary RDF representation for publication and exchange(HDT)’ in Web Semantics, Vol. 19, p. 22-41.

Use Large Knowledge Graphs (IDE)

Rietveld & Hoekstra. 2017. ‘The YASGUI family of SPARQL clients’ in Semantic Web Journal, Vol. 8, No. 3, p. 373-383.

How Big are Corporate Knowledge Graphs?

Started at 100B edges, growing towards 2T edges.

Combining Governmental Datasets

Querying across datasets & institutions:

Cadastre
Base registries
Chamber of Commerce (KvK)
Company registrations
Cultural Heritage Agency (RCE)
Monument registry
Netherlands Enterprise Agency (RVO)
Energy labels

Example: De Boelelaan

  • Living space
  • Shopping
  • Offices
  • Education
  • Health
  • Sport

Policy Questions @ Knowledge Graphs

“Where should the government invest to maximize energy savings?”

Real Estate Use Case

Benefits of Knowledge Graphs

  • Answer business questions across datasets
  • Answer business questions across institutions
  • Low-cost data integration
  • 🠉 Create a Network Effect for your data
  • Reach policy goals faster
  • Provide better services to citizens

Thank you for your attention!