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| title: OGD4All | |
| emoji: 🗺️ | |
| colorFrom: blue | |
| colorTo: yellow | |
| sdk: docker | |
| pinned: false | |
| license: mit | |
| short_description: Interact with 472 open geospatial datasets of Zurich | |
| OGD4All is a prototype system enabling an easy-to-use, transparent interaction with Geospatial Open Government Data through natural language. It was developed and tested with 430 tabular and geospatial datasets of the city of Zurich. | |
| > [!NOTE] | |
| > OGD4All has been submitted to and accepted at IEEE CAI 2026. Check out our [preprint](https://arxiv.org/abs/2602.00012)! | |
| ## Citation | |
| ``` | |
| @article{siebenmann_ogd4all_2025, | |
| archivePrefix = {arXiv}, | |
| arxivId = {2602.00012}, | |
| author = {Siebenmann, Michael and S{\'a}nchez-Vaquerizo, Javier Argota and Arisona, Stefan and Samp, Krystian and Gisler, Luis and Helbing, Dirk}, | |
| journal = {arXiv preprint arXiv:2602.00012}, | |
| month = {nov}, | |
| title = {{OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models}}, | |
| url = {https://arxiv.org/abs/2602.00012}, | |
| year = {2025} | |
| } | |
| ``` | |
| ## Acknowledgement | |
| This prototype was implemented as part of Michael Siebenmann's Master's thesis at the Professorship of Computational Social Science and Esri R&D Center Zurich. |