Papers › Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089
Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089
Sergios-Anestis Kefalidis, Dharmen Punjani, Eleni Tsalapati, Konstantinos Plas, Mariangela Pollali, Michail Mitsios, Myrto Tsokanaridou, Manolis Koubarakis, Pierre Maret
We present the dataset GeoQuestions1089 for benchmarking geospatial question answering engines. GeoQuestions1089 is the largest such dataset available presently and it contains 1089 questions, their corresponding GeoSPARQL or SPARQL queries and their answers over the geospatial knowledge graph YAGO2geo. We use GeoQuestions1089 to evaluate the effectiveness and efficiency of geospatial question answering engines GeoQA2 (an extension of GeoQA developed by our group) and the system of Hamzei et al. (2022).
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Question Answering | GeoQuestions1089 | GeoQA2 | Percentage correct | 38.28% | #1 of 2 | Archive leaderboard | report |
| Question Answering | GeoQuestions1089 | Hamzei et al. | Percentage correct | 19.04% | #2 of 2 | Archive leaderboard | report |
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