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OWL-based validation by Gavin Mendel Gleasonand Bojan Bozic, Trinity College, Dublin

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

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OWL-based validation by Gavin Mendel Gleasonand Bojan Bozic, Trinity College, Dublin

  1. 1. Using OWL ontologies to ensure data quality. Dacura Quality Service
  2. 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.
  3. 3. 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 
  4. 4. 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. 
  5. 5. Polity Population Capital

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