KORA: A Knowledge-Oriented Open Reference Architecture for GovTech and Trustworthy Public AI.
TL;DR
KORA proposes the concept of Data Space Lite: lightweight semantic infrastructures based on W3C standards and Data Spaces principles for rapidly deploying reusable interoperability layers in GovTech environments.
Abstract
GovTech initiatives continue to operate on fragmented infrastructures and poorly reusable information models across public services, participatory processes and AI systems. This work presents KORA (Knowledge-Oriented Open Reference Architecture for GovTech), an ongoing research and implementation initiative focused on reusable semantic infrastructures for public sector interoperability. KORA proposes the concept of Data Space Lite: lightweight semantic infrastructures based on W3C standards and Data Spaces principles for rapidly deploying reusable interoperability layers in GovTech environments. The architecture combines semantic transformation, SHACL/ShEx validation and federated Knowledge Graphs to build interoperable models of institutional knowledge decoupled from the applications that generate them. As a use case, the paper presents a Citizen Support & Participation Knowledge Space where public grants, territorial open data and citizen consultations are integrated into a shared Knowledge Graph supporting public services and explainable AI.
