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2022 AAAI AAAI 2022

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

Abstract

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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Knowledge & Reasoning
🐣 Hot Topic Early Bird - synthetic dataset

Authors

Dawid Wiśniewski, Jędrzej Potoniec, Agnieszka Ławrynowicz

Topics

Knowledge & Reasoning > Representation > Knowledge Graphs Knowledge & Reasoning > Representation > Knowledge Representation Artificial Intelligence > Core AI > Knowledge Representation Artificial Intelligence > Core AI > Knowledge Graph

Keywords

knowledge representation synthetic dataset sparql query competency question owl ontology ontology validation ontology evaluation sparql-owl query
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