The question answering system GeoQA2 and a new benchmark for its evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A2B9V2IRV" target="_blank" >RIV/00216208:11320/25:2B9V2IRV - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206337298&doi=10.1016%2fj.jag.2024.104203&partnerID=40&md5=47cd0fda563312f6281cabe8e18bf6bb" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206337298&doi=10.1016%2fj.jag.2024.104203&partnerID=40&md5=47cd0fda563312f6281cabe8e18bf6bb</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jag.2024.104203" target="_blank" >10.1016/j.jag.2024.104203</a>
Alternative languages
Result language
angličtina
Original language name
The question answering system GeoQA2 and a new benchmark for its evaluation
Original language description
We present the question answering engine GeoQA2 which is able to answer geospatial questions over the union of knowledge graphs YAGO2 and YAGO2geo. We also present the dataset GEOQUESTIONS1089 which consists of 1089 natural language questions, their corresponding SPARQL or GeoSPARQL queries and their answers over the union of the same knowledge graphs. We use this dataset to compare the effectiveness of GeoQA2 and the system of Hamzei et al. 2022 and make it publicly available to be used by other researchers. Our evaluation shows that although the engine GeoQA2 performs better than the engine of Hamzei et al. 2022, both engines have ample room for improvement in their question answering performance. © 2024 The Authors
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Applied Earth Observation and Geoinformation
ISSN
1569-8432
e-ISSN
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Volume of the periodical
134
Issue of the periodical within the volume
2024
Country of publishing house
US - UNITED STATES
Number of pages
24
Pages from-to
1-24
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85206337298