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Benchmarking Geospatial Question Answering Engines Using the Dataset GeoQuestions1089

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The Semantic Web – ISWC 2023 (ISWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14266))

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Abstract

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. (2021).

This work was supported by the first call for H.F.R.I. Research Projects to support faculty members and researchers and the procurement of high-cost research equipment grant (HFRI-FM17-2351). It was also partially supported by the ESA project DA4DTE (subcontract 202320239), the Horizon 2020 project AI4Copernicus (GA No. 101016798) and the Marie Skłodowska-Curie project QuAre (GA No. 101032307).

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Notes

  1. 1.

    https://github.com/AI-team-UoA/GeoQuestions1089.

  2. 2.

    https://github.com/AI-team-UoA/GeoQA2.

  3. 3.

    https://gadm.org/.

  4. 4.

    https://www.usgs.gov/.

  5. 5.

    https://www.grammarly.com/.

  6. 6.

    https://quillbot.com/.

  7. 7.

    For comparison purposes, for each question category, we comment whether the search engines Google and Bing can answer such questions after having tried a few examples.

  8. 8.

    The conceptual framework of Hamzei et al. [9] is much richer than the one of GeoQA2 and it includes concepts such as events, times etc. but it has not been tested with KGs or datasets involving these concepts.

  9. 9.

    https://github.com/hamzeiehsan/Questions-To-GeoSPARQL.

  10. 10.

    https://tomko.org/demo/.

  11. 11.

    https://github.com/GiorgosMandi/DS-JedAI.

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Authors and Affiliations

  1. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

    Sergios-Anestis Kefalidis, Eleni Tsalapati, Konstantinos Plas, Mariangela Pollali, Michail Mitsios, Myrto Tsokanaridou & Manolis Koubarakis

  2. Université St. Monnet, St. Etienne, France

    Dharmen Punjani & Pierre Maret

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  1. Sergios-Anestis Kefalidis
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Correspondence to Sergios-Anestis Kefalidis .

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Editors and Affiliations

  1. University of Liverpool, Liverpool, UK

    Terry R. Payne

  2. University of Bologna, Bologna, Italy

    Valentina Presutti

  3. Southeast University, Nanjing, China

    Guilin Qi

  4. Universidad Politécnica de Madrid, Madrid, Spain

    María Poveda-Villalón

  5. Huawei Technologies R&D UK, Edinburgh, UK

    Giorgos Stoilos

  6. Centrum Wiskunde and Informatica, Amsterdam, The Netherlands

    Laura Hollink

  7. IT University of Copenhagen, Copenhagen, Denmark

    Zoi Kaoudi

  8. Nanjing University, Nanjing, China

    Gong Cheng

  9. Tsinghua University, Beijing, China

    Juanzi Li

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Kefalidis, SA. et al. (2023). Benchmarking Geospatial Question Answering Engines Using the Dataset GeoQuestions1089. In: Payne, T.R., et al. The Semantic Web – ISWC 2023. ISWC 2023. Lecture Notes in Computer Science, vol 14266. Springer, Cham. https://doi.org/10.1007/978-3-031-47243-5_15

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