The Network Effect for Your Data

Knowledge Graph

The Network Effect for Data

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

Linked Open Data Cloud

LOD Cloud 2020-05-20 (

Knowledge Graphs

Gartner Hype Cycle for Emerging Technologies 2019

TriplyDB is Standards-Compliant

W3C standards for Linked Data Knowledge Graphs.

TriplyDB is scalable due to cutting-edge technology

TriplyDB has Superior Experience

Triply products

Knowledge Graph Construction

  1. Location & Naming
  2. Metadata
  3. Example records
  4. Identify Ontology Design Patterns
  5. Vocabulary
  6. Feedback
  7. Implementation (ETL)
  8. Data Quality Report/Dashboard
  9. Sustainability

Costs & Benefits of Linked Data Knowledge Graphs

Benefits of Using Linked Data Knowledge Graphs

  • Lowering the cost of data interchange (data-at-the-source)
  • Lowering the cost of data integration
  • More quickly adapt to new requirements and goals
  • Monitoring and improving data quality
  • Ability to ask questions across data silo's
  • Ideal basis for Machine Learning
  • Reduce the risk of vendor lock-in
“The Semantic Web has lacked an essential element which the WWW had from the start: the immediate gratification for information providers to see the results of their efforts on a screen.”
Tim Berners-Lee “Tabulator Redux” (2007)

Geospatial information

Kadaster Knowledge Graph: key registries, company registry, monument registry, energy labels, etc.

Statistical information

Life expectancy for the countries of the world over time (dataset: Gapminder)

Temporal information

Timeline of cars produced by Ford, Chevrolet, Porsche, and Toyota between 1903 and 2016 (dataset: DBpedia)

Linked Data cost/benefit


“Data are described with rich metadata.”


Findable using popular search engines.

Linked Data cost/benefit


“(Meta)data are assigned a globally unique and eternally persistent identifier.”


Zero-cost data integration.

Current use cases

Public Data on the Map (PDOK)

Kadaster (Land Measuring Agency)

Kadaster Knowledge Graph: Key registries, company registrations, Monument registry, energy labels, etc.

Dutch Bureau of Statistics (CBS)

FacetCheck: Data browser that configures itself.

Amsterdam Network (AdamNet)

Platform Linked Data Netherlands (PLDN)

A card game for building physical Knowledge Graphs: order online

Institute for Social History

Search Engine

Network Digital Infrastructure (NDE)

National Archives

Humanitarian Aid

Cell tower coverage (mobile phone network)

Humanitarian Aid


Road network


Research Data Infrastructure

FAIR Paper

“The FAIR Guiding Principles for scientific data management and stewardship”


  1. (Meta)data are assigned a globally unique and eternally persistent identifier.
  2. Data are described with rich metadata.
  3. (Meta)data are registered or indexed in a searchable resource.
  4. Metadata specify the data identifier.


  1. (Meta)data are retrievable by their identifier using a standardized communications protocol.
  2. The protocol is open, free, and universally implementable.
  3. The protocol allows for an authentication and authorization procedure, where necessary.
  4. Metadata are accessible, even when the data are no longer available.


  1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
  2. (Meta)data use vocabularies that follow FAIR principles.
  3. (Meta)data include qualified references to other (meta)data.


  1. Meta(data) have a plurality of accurate and relevant attributes.
  2. (Meta)data are released with a clear and accessible data usage license.
  3. (Meta)data are associated with their provenance.
  4. (Meta)data meet domain-relevant community standards.

Data Stories

A sequence of real-time generated data visualizations, connected through an overarching story.

Data Stories: FAIR Paper

Data Stories: FAIR Paper

Data Story: Churches in NL

Data from: Kadaster

Data Story: Maritime Museums

Data from: Scheepvaartmuseum, Rijksmuseum, Rijksdienst voor Cultureer Erfgoed, Huygens ING (Humanities Cluster)


The Network Effect for Your Data