Back to previous page
Workshop Publications

Mapping Patterns for Virtual Knowledge Graphs (A Report on Ongoing Research)

AUTHORS:
UNIBZ, Italy
Diego Calvanese
UNIBZ, Italy
Davide Lanti
UNIBZ, Italy
Alessandro Mosca
ADDITIONAL AUTHORS:
Gal, A., Montali, M., Shraga, R.
PUBLISHED IN:   
The 33rd International Workshop on Description Logics
DATE:   
July 23, 2021
Read full article

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 majority of patterns present therein.

Download files:

Get in touch

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form, try again please.