Data integration as knowledge graph refinement

15^th April 2025, 13:00 Ashton Lecture Theatre
Enrico Daga
Open University

Abstract

Data integration is the predominant use case for Knowledge Graphs (KG) because they can flexibly support a diversity of representations, relying on Semantic Web Ontologies. This talk describes a novel method for arbitrary data integration using a common meta-model (Façade-X) and a related open-source project, SPARQL Anything. By seeing potentially any data object as an RDF graph, our approach allows us to streamline Knowledge Graph construction from heterogeneous data sources. We will summarise the genesis of SPARQL Anything and show its generality and usability on a potentially open-ended set of formats. Finally, we will discuss the opportunities, the challenges, and the open research questions of façade-based data integration.