The question answering system GeoQA2 and a new benchmark for its evaluation

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 thei...

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Bibliographic Details
Main Authors: Sergios-Anestis Kefalidis, Dharmen Punjani, Eleni Tsalapati, Konstantinos Plas, Maria-Aggeliki Pollali, Pierre Maret, Manolis Koubarakis
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:International Journal of Applied Earth Observations and Geoinformation
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Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224005594
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