BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract)

Dawid Wi≈õniewski, Jƒôdrzej Potoniec, Agnieszka Lawrynowicz

[AAAI-22] Student Abstract and Poster Program - FINALIST

Keywords
Poster Session 3 @ Blue 5, Poster Session 7 @ Blue 5, Poster Session 3, Poster Session 7

Download Paper
Enter the Virtual Venue
Abstract: We present a method for constructing synthetic datasets of Competency Questions translated into SPARQL-OWL queries. This method is used to generate BigCQ, the largest set of CQ patterns and SPARQL-OWL templates that can provide translation examples to automate assessing the completeness and correctness of ontologies.

Introduction Video

Sessions where this paper appears

  • Poster Session 3

    Fri, February 25 8:45 AM - 10:30 AM (+00:00)
    Blue 5
    Add to Calendar

  • Poster Session 7

    Sat, February 26 4:45 PM - 6:30 PM (+00:00)
    Blue 5
    Add to Calendar