A grammar for interpreting geo-analytical questions as concept transformations.
Geographic question answering
core concepts of spatial information
geo-analytical questions
grammatical parser
natural language processing
Journal
International journal of geographical information science : IJGIS
ISSN: 1365-8816
Titre abrégé: Int J Geogr Inf Sci
Pays: England
ID NLM: 101086096
Informations de publication
Date de publication:
2023
2023
Historique:
entrez:
23
1
2023
pubmed:
24
1
2023
medline:
24
1
2023
Statut:
epublish
Résumé
Geographic Question Answering (GeoQA) systems can automatically answer questions phrased in natural language. Potentially this may enable data analysts to make use of geographic information without requiring any GIS skills. However, going beyond the retrieval of existing geographic facts on particular places remains a challenge. Current systems usually cannot handle geo-analytical questions that require GIS analysis procedures to arrive at answers. To enable
Identifiants
pubmed: 36683723
doi: 10.1080/13658816.2022.2077947
pii: 2077947
pmc: PMC9851665
doi:
Banques de données
figshare
['10.6084/m9.figshare.17009003.v7']
Types de publication
Journal Article
Langues
eng
Pagination
276-306Informations de copyright
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Déclaration de conflit d'intérêts
No potential conflict of interest was reported by the author(s).
Références
Trans GIS. 2021 Feb;25(1):424-449
pubmed: 33776542