TY - GEN
T1 - Propagating Ontology Changes to Declarative Mappings in Construction of Knowledge Graphs
AU - Conde-Herreros, Diego
AU - Stork, Lise
AU - Pernisch, Romana
AU - Poveda-Villalón, María
AU - Corcho, Oscar
AU - Chaves-Fraga, David
N1 - Publisher Copyright:
© 2024 Copyright for this paper by its authors.
PY - 2024
Y1 - 2024
N2 - Knowledge Graphs (KGs) are usually constructed through a set of data transformation pipelines that turn heterogeneous sources into triples following a set of rules. These rules, usually in the form of mapping rules (e.g., RML, R2RML, etc.), are a key resource for the construction of the KG as they describe the relationship between the input data sources and the ontology terms. Several efforts have been made to manage and describe the evolution of the ontology; however, its propagation over interrelated assets (e.g., mapping rules) is commonly done in manual processes. In this paper, we present a preliminary approach to automatically project the evolution of the ontology on the mapping rules used to construct the KG. For each potential change, we analyse the impact on the mappings and the required steps to ensure that the KG is up-to-date w.r.t. the ontology. We implement our solution in fully declarative workflows and demonstrate its benefits in a real-world project in the public procurement domain.
AB - Knowledge Graphs (KGs) are usually constructed through a set of data transformation pipelines that turn heterogeneous sources into triples following a set of rules. These rules, usually in the form of mapping rules (e.g., RML, R2RML, etc.), are a key resource for the construction of the KG as they describe the relationship between the input data sources and the ontology terms. Several efforts have been made to manage and describe the evolution of the ontology; however, its propagation over interrelated assets (e.g., mapping rules) is commonly done in manual processes. In this paper, we present a preliminary approach to automatically project the evolution of the ontology on the mapping rules used to construct the KG. For each potential change, we analyse the impact on the mappings and the required steps to ensure that the KG is up-to-date w.r.t. the ontology. We implement our solution in fully declarative workflows and demonstrate its benefits in a real-world project in the public procurement domain.
KW - Impact Assessment
KW - Knowledge Graphs
KW - Mapping Rules
KW - Ontology Evolution
UR - http://www.scopus.com/inward/record.url?scp=85198645215&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85198645215&partnerID=8YFLogxK
UR - https://ceur-ws.org/Vol-3718/
M3 - Conference contribution
AN - SCOPUS:85198645215
T3 - CEUR Workshop Proceedings
BT - KGCW 2024 Knowledge Graph Construction 2024
A2 - Chaves-Fraga, David
A2 - Dimou, Anastasia
A2 - Iglesias-Molina, Ana
A2 - Serles, Umutcan
A2 - Van Assche, Dylan
PB - CEUR
T2 - 5th International Workshop on Knowledge Graph Construction, KGCW 2024
Y2 - 27 May 2024
ER -