SODIC is a research group at TU Chemnitz focused on advancing open and semantic data infrastructures.
We explore how structured, interoperable and spatially linked data can foster innovation, transparency, and collaboration across public administration, science, and civil society.

In a world increasingly driven by data, the accessibility, semantics, and interoperability of Open Data are more important than ever.
SODIC stands at the intersection of technology, governance, and transparency – pushing for intelligent Open Data infrastructures that empower society, science, and administration.

• Florian Hahn ORCID Researcher in Semantic Open Data, Web Technologies & Public Data Infrastructures

• Prof. Dr. Michael Martin ORCID Professor of Data Management – Expert in Linked Data, Semantics, and Data Architectures

An interactive map-based tool linking Open Data portals to administrative boundaries across Europe.

SODINA is a lightweight introspection layer for SPARQL endpoints, designed to support semantic data exploration by dynamically exposing available classes, properties, datatypes, and value samples. Inspired by GraphQL’s __schema functionality, SODINA lowers the entry barrier for users unfamiliar with the internal vocabulary of RDF-based Open Data portals.

This Node.js-based research tool analyzes the metadata quality of German municipal Open Data portals. Specifically, it evaluates the regional assignability of datasets depending on whether standardized metadata models like DCAT-AP and GeoDCAT-AP are used (typically via CKAN), best practice as a SPARQL endpoint, or non-standard formats (e.g. ArcGIS JSON).

SODBond is a toolkit that bridges Camunda BPMN 2.0 process definitions and runtime instances with RDF knowledge graphs via an ontology-driven approach. It retrieves BPMN models and instance data from Camunda through the REST API and transforms them into semantically rich RDF/OWL representations based on a BPMN-based ontology.

• SODA – Saxony Open Data Assembly (planned)
• SODPUB – Standardized Open Data Publication & Utilization Blueprint (planned)

• Hahn, F. (2025). 'Bridging gaps in the Open Data landscape: A step towards a global atlas' (ICEGOV 2025).
• Hahn, F. (2025). 'Towards an Standardized Dataset Publishing in Open Government Data Ecosystems' (ESWC 2025).

• Semantic Web & Ontologies
• Open Government Data
• Geo-Web Applications
• Metadata Enrichment & Quality Assessment
• FAIR Data Principles & Data Ecosystems

Faculty of Computer Science, Professorship Data Management, TU Chemnitz
Germany

• Email: florian.hahn@informatik.tu-chemnitz.de
• GitHub: github.com/SODIC-research
• GitHub Page:sodic-research.github.io
• TU Chemnitz Page: https://www.tu-chemnitz.de/informatik/dm/forschung/sodic.php

© {year} SODIC Research Group – TU Chemnitz. All rights reserved. Since 02.2025