{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/benchmarking-geospatial-question-answering","title":"Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089","arxiv_id":null,"date":"2023-11-06","proceeding":"International Semantic Web Conference 2023 11","authors":["Sergios-Anestis Kefalidis","Dharmen Punjani","Eleni Tsalapati","Konstantinos Plas","Mariangela Pollali","Michail Mitsios","Myrto Tsokanaridou","Manolis Koubarakis","Pierre Maret"],"abstract":"We present the dataset GeoQuestions1089 for benchmarking geospatial question answering engines. GeoQuestions1089 is the\r\nlargest 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).","url_abs":"https://cgi.di.uoa.gr/~koubarak/publications/2023/ISWC_2023_GeoQuestions_paper-3.pdf","url_pdf":"http://cgi.di.uoa.gr/~koubarak/publications/2023/ISWC_2023_GeoQuestions_paper-3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"benchmarking-geospatial-question-answering","repo_url":"https://github.com/AI-team-UoA/GeoQuestions1089","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"knowledge-base-question-answering","task_name":"Knowledge Base Question Answering"},{"task_slug":"question-answering","task_name":"Question Answering"}],"methods":[],"datasets_introduced":[{"slug":"geoquestions1089","name":"GeoQuestions1089","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/question-answering-on-geoquestions1089","task":"Question Answering","dataset":"GeoQuestions1089","model":"GeoQA2","rank_in_archive_order":1,"of":2,"metrics":{"Percentage correct":"38.28%"},"uses_additional_data":false},{"leaderboard":"/sota/question-answering-on-geoquestions1089","task":"Question Answering","dataset":"GeoQuestions1089","model":"Hamzei et al.","rank_in_archive_order":2,"of":2,"metrics":{"Percentage correct":"19.04%"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}