Test-driven knowledge graph construction

Jindřich Mynarz, Kateřina Haniková, Vojtěch Svátek

Keywords: testing, knowledge graphs, competency questions

TL;DR: Test-driven method for constructing knowledge graphs based on competency questions encoded as SPARQL-based constraints in SHACL

Abstract: We propose how to construct knowledge graphs using a method based on user requirements formulated as competency questions. It suggests to formalize the competency questions as SPARQL queries wrapped as SHACL constraints allowing them to be used as automated tests. The method defines a process to guide knowledge graph construction by feedback from tests. It aims to reduce the engineering effort required to construct a knowledge graph that meets the requirements, while assessing the quality of semantic artifacts produced in this effort. We intend the method to provide a solid engineering basis for knowledge graph construction that uses the lessons learnt from software development and is built on open standards. We demonstrate using the method to construct a knowledge graph about antigen covid tests and reflect on the proposed method.