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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Applied Earth Observation and Geoinformation

ISSN

1569-8432

e-ISSN

—

Svazek periodika

134

Číslo periodika v rámci svazku

2024

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

24

Strana od-do

1-24

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85206337298