RT Book,_Section
T1 SCOOP All the Constraints’ Flavours for Your Knowledge Graph
A1 Duan, Xuemin
A1 Chaves Fraga, David
A1 Derom, Olivier
A1 Dimou, Anastasia
A2 Meroño Peñuela, Albert
A2 Dimou, Anastasia
A2 Troncy, Raphäel
A2 Hartig, Olaf
A2 Acosta, Maribel
A2 Alam, Mehwish
A2 Paulheim, Heiko
A2 Lisena, Pasquale
K1 SHACL
K1 Knowledge Graph Validation
K1 Shape Integration
AB Creating SHACL shapes for the validation of RDF graphs is a non-trivial endeavor. Automated shape extraction systems typically derive SHACL shapes from RDF graphs, and thus, their effectiveness is inherently influenced by the size and complexity of the RDF graph. However, these systems often overlook the constraints imposed by individual artifacts, although RDF graphs are often constructed by applying ontology terms to heterogeneous data. Only a few systems extract SHACL shapes from either the data schema or the ontology, leading, in either case, to limited or incomplete constraints. We propose SCOOP,a framework that exploits all artifacts associated with the construction of an RDF graph, i.e. data schemas, ontologies, and mapping rules, and  integrates the SHACL shapes extracted from each artifact into a unified shapes graph. We applied our approach to real-world use cases and experimental results showed that SCOOP outperforms systems that extract SHACL shapes from RDF graphs, generating more than double the types of constraints than those systems, and effectively identifying missing and erroneous RDF triples during the validation process.
PB Springer
SN 978-3-031-60635-9
YR 2024
FD 2024
LK https://hdl.handle.net/10347/41018
UL https://hdl.handle.net/10347/41018
LA eng
NO Duan, X., Chaves-Fraga, D., Derom, O., Dimou, A. (2024). SCOOP All the Constraints’ Flavours for Your Knowledge Graph. In: Meroño Peñuela, A., et al. The Semantic Web. ESWC 2024. Lecture Notes in Computer Science, vol 14665. Springer, Cham. https://doi.org/10.1007/978-3-031-60635-9_13
NO Xuemin Duan and Anastasia Dimou are partially supported by Flanders Make, the research centre for the manufacturing industry, and the Flanders innovation and entrepreneurship (VLAIO) through the KG3D project. David Chaves-Fraga is funded by the Galician Ministry of Education, University and Professional Training and the European Regional Development Fund (ERDF/FEDER program) through grants ED431C2018/29 and ED431G2019/04. The resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation- Flanders (FWO) and the Flemish Government.
DS Minerva
RD 30 abr 2026