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Rules & Ontology for Validation Effort

ROVE. Rules & Ontology for Validation Effort. Annie + Antoine + Denny + Gosia 3rd SSSW, 10-16 July 2005, Cercedilla (Spain). Agenda. ROVE Goals & Scenario ROVE Ontology ROVE Rules ROVER Extensions ROVE Outcomes. ROVE Goals & Scenario. SSSW 2005 Project Group Validation based on:

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Rules & Ontology for Validation Effort

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  1. ROVE Rules & Ontology for Validation Effort Annie + Antoine + Denny + Gosia 3rd SSSW, 10-16 July 2005, Cercedilla (Spain)

  2. Agenda • ROVE Goals & Scenario • ROVE Ontology • ROVE Rules • ROVER Extensions • ROVE Outcomes

  3. ROVE Goals & Scenario • SSSW 2005 Project Group Validation based on: • OWL Group Ontology AND • Rules defined with SWRL • Group Validation – checks whether the group satisfies conditions like : • Different Nationalities • Different Institutions • Different Genders

  4. Ontology vs. Database

  5. ROVE Ontology

  6. Why use rules in ROVE ? • To define constraints which involve more than one property • To automatically infer class membership based on composition of properties • Example: a Fun Group is a group where the tutor leading the group is the most attractive tutor according to all the group members • To classify this needs : • Group hasMember Student, • Tutor leads Group AND • for all students in group, student is attracted to Tutor

  7. ROVE Rules • Natural language “If any group members have the same nationality the group is a Bad Group” • SWRL – Semantic Web Rule Language hasMember(?x,?y)  hasNationality(?y,?z)  hasMember(?x,?u)  hasNationality(?u,?z)  differentFrom(?y,?u) BadGroup(?x)

  8. SSSW 2005 Group Validation

  9. SSSW 2005 Group Validation

  10. SSSW 2005 Group Validation

  11. SSSW 2005 Group Validation ROVE – the only valid group of the SSSW 2005

  12. ROVE Reloaded (Extensions) • Automatically populating ROVE ontology (e.g. using NLP, ScreenScraping) • Mapping & Alignment (FOAF) • Semantic Web Services • for group validation of other schools • for finding the most attractive tutor of other schools • service API (e.g. natural language)

  13. Competition for the most attractive tutorROVE Winners • Natasha – 17 votes • Asun – 12 votes • Sean – 11 votes

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