https://2016.semantics.cc/satellite-events/data-quality-tutorial

1. Using OWL ontologies to ensure data
quality.
Dacura Quality Service

2. 4/30/20152
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 644055.
This communication reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.

4. Technologies
 ClioPatria + SWI Prolog for triple store
 DQS – a plugin for ClioPatria providing ontology
checking and data validation
 Dacura front-end – Gives a convenient user-
interface to DQS


5. The main ideas
 Schema and Instance – OWL ontology gives us a
schema, we then treat the instance data as we
would “rows in an SQL table”
 We use prolog as it is a flexible recursive query
language which enables the use of libraries of
predicates.
 We intentionally misinterpret OWL as a constraint
language.


9. Polity
Population Capital