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Data integration-berlin2011

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Michael's presentation about Data Integration with SMW+ and TripleStore Professional.

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Data integration-berlin2011

  1. 1. Data Integration with SMW+Michael Erdmann, ontoprise, KarlsruheSMWCon Fall 2011, Berlin © 2010 ontoprise GmbH Seite 1
  2. 2. Data Integration Scenario Enterprises typically manage their data in relational databases Often a landscape of isolated data silos grows Wiki provides one platform for sharing information Nevertheless,  the data bases exist  contain valuable information  will not be deserted The enterprise use cases we see, often require access to external data from within the wiki  Usually the external data sources are relational databases  Wiki is used as a data access and visualization tool  Wiki users should be able to formulate queries © 2010 ontoprise GmbH Seite 2
  3. 3. ArchitectureSlide 3 © 2010 ontoprise GmbH Seite 3
  4. 4. ArchitectureSlide 4 © 2010 ontoprise GmbH Seite 4
  5. 5. Workflow for Data Integration with SMW+ OntoStudio  SMW+ / TSC  Lift database schema  Import ontologies  Model wiki ontology  Formulate queries (QI)  Map database ontology to  Create articles containing inline queries wiki ontology  Browse database via Non-  Test and refine mappings Existing-Pages  Export ontologies  Potentially, enhance model  Transfer to Wiki server via annotations  Adapt and extend wiki ontology  Import ontology  Export ontology as OBL  Test and refine ontology © 2010 ontoprise GmbH Seite 5
  6. 6. Query AnsweringTSC with OntoBroker mapping results manual mappings query SMW+ generated ontologies mapping rules integrated results Wiki facts lifting automatic ontology schema from rules mapping source databases Slide 6 © 2010 ontoprise GmbH Seite 6
  7. 7. Queries and Results use the Wiki VocabularyTSC with OntoBroker mapping results manual mappings query SMW+ generated ontologies mapping rules integrated results Wiki facts lifting automatic ontology schema from rules mapping source databases Slide 7 © 2010 ontoprise GmbH Seite 7
  8. 8. Screen Capture Lifting and Mapping © 2010 ontoprise GmbH Seite 8
  9. 9. Summary and Outlook SMW+ and TripleStoreConnector realize  Access to relational data from within SMW  Using the wiki vocabulary  Live queries  Enhance/Extend the data by wiki users in the wiki Currently working on  Supporting the same feature for SPARQL endpoints © 2010 ontoprise GmbH Seite 9
  10. 10. Lifting SPARQL Endpoints Approach  Endpoint is queried for its schema information  Schema is extracted  Lifting rules are generated  This results is an ObjectLogic ontology  This ontology can be integrated and mapped into the wiki ontology  It can even be mixed with other data sources, e.g. DBs. In the wiki  Wiki ontology can be used to query and visualize remote data from the endpoint  Query Interface supports query building out of the box © 2010 ontoprise GmbH Seite 10
  11. 11. ArchitectureExternal Data Sources Slide 11 © 2010 ontoprise GmbH Seite 11
  12. 12.  Thank you! Michael Erdmann ontoprise GmbH Karlsruhe, Germany erdmann@ontoprise.de © 2010 ontoprise GmbH Seite 12

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