TriplyDB is scalable due to cutting-edge technology
TriplyDB has Superior Experience
Triply products
Knowledge Graph Construction
Location & Naming
Metadata
Example records
Identify Ontology Design Patterns
Vocabulary
Feedback
Implementation (ETL)
Data Quality Report/Dashboard
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
Cost
“Data are described with rich metadata.”
Benefit
Findable using popular search engines.
Linked Data cost/benefit
Cost
“(Meta)data are assigned a globally unique and eternally persistent identifier.”