Mapping Patterns for Virtual Knowledge Graphs
Diego Calvanese, Avigdor Gal, Davide Lanti, Marco Montali and, Alessandro Mosca, Roee Shraga

TL;DR
This paper introduces a comprehensive catalog of sophisticated mapping patterns for Virtual Knowledge Graphs, aiding in the management of data source-to-ontology mappings throughout their lifecycle.
Contribution
It extends established data management patterns to VKGs, validated on real-world benchmarks and use cases, addressing the impedance mismatch challenge.
Findings
Catalog covers most patterns in VKG scenarios
Validated on real-world benchmarks
Supports lifecycle management of mappings
Abstract
Virtual Knowledge Graphs (VKG) constitute one of the most promising paradigms for integrating and accessing legacy data sources. A critical bottleneck in the integration process involves the definition, validation, and maintenance of mappings that link data sources to a domain ontology. To support the management of mappings throughout their entire lifecycle, we propose a comprehensive catalog of sophisticated mapping patterns that emerge when linking databases to ontologies. To do so, we build on well-established methodologies and patterns studied in data management, data analysis, and conceptual modeling. These are extended and refined through the analysis of concrete VKG benchmarks and real-world use cases, and considering the inherent impedance mismatch between data sources and ontologies. We validate our catalog on the considered VKG scenarios, showing that it covers the vast…
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Database Systems and Queries · Service-Oriented Architecture and Web Services
