Toolboxes & Code Repositories

POD-QUERY

Schema Mapping and Query Rewriting system for personalized decentralized data storage pods

software
Description:

A query answering architecture and system was designed, called POD-QUERY, that allows to define different views over a data source for every requesting party. This way, the user can control exactly what the party can query. These views can hide data as well as transform into the right shape. As such, it can also easily deal with requesting parties expecting data according to a specific shape/schema, while the data is stored in another schema. In POD-QUERY schema alignment is specified by RDF-to-RDF mappings written in RML, and SPARQL queries are rewritten based on these mappings.

More Information:

  • Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).

  • Responsible Research Lead: Femke Ongenae

  • Authors: Maarten Vandenbrande, Maxime Jakubowski, Pieter Bonte, Bart Buelens,  Femke Ongenae, Jan Van Den Bussche,

  • Programming Language: Python

  • Link to the website

  • Link to repositories: 1 , 2

  • Categories: Networks and graphs, Relational databases, Distributed Intelligence

Publications:

  • Vandenbrande, M., Jakubowski, M., Bonte, P., Buelens, B., Ongenae, F., & Van den Bussche, J. (2023). POD-QUERY : schema mapping and query rewriting for solid pods. In I. Fundulaki, K. Kozaki, D. Garijo, & J. M. Gomez-Perez (Eds.), Posters, Demos, and Industry Tracks at ISWC 2023 : proceedings of the ISWC 2023 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice (ISWC-Posters-Demos-Industry 2023) (Vol. 3632). CEUR. https://ceur-ws.org/Vol-3632/ISWC2023_paper_447.pdf

Addional Info:

The designed POD-QUERY system was evaluated on the "We Are" platform use case of VITO (https://we-are-health.be). In this use case citizens provide answers to health questionnaires and their answers are stored in their personal data vault using the GGDM vocabulary, together with their personal health record, that is provided by the hospital in the FHIR vocabulary. POD-QUERY is then used to query all the personal data vaults of the citizens, and only extracting the information that is pertinent to a particular regional research survey (RSS) (e.g. to study diabetes). Using POD-QUERY Citizens only share information that is pertinent to the RSS, but it automatically also gets converted to the correct schema of the RSS (in this case mapping FHIR info to RSS). 

The demo movie can be found at:  https://vimeo.com/84659863