DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Geographic Information Extraction from Texts (GeoExT)

Hu, Xuke and Hu, Yingjie and Resch, Bernd and Kersten, Jens (2023) Geographic Information Extraction from Texts (GeoExT). In: 45th European Conference on Information Retrieval, ECIR 2023. 45th European Conference on Information Retrieval, Dublin, Ireland. doi: 10.1007/978-3-031-28241-6_44. ISBN 978-303128240-9. ISSN 0302-9743.

Full text not available from this repository.

Official URL: https://link.springer.com/chapter/10.1007/978-3-031-28241-6_44


A large volume of unstructured texts, containing valuable geographic information, is available online. This information – provided implicitly or explicitly – is useful not only for scientific studies (e.g., spatial humanities) but also for many practical applications (e.g., geographic information retrieval). Although large progress has been achieved in geographic information extraction from texts, there are still unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. Therefore, this workshop will provide a timely opportunity to discuss the recent advances, new ideas, and concepts but also identify research gaps in geographic information extraction.

Item URL in elib:https://elib.dlr.de/200444/
Document Type:Conference or Workshop Item (Other)
Title:Geographic Information Extraction from Texts (GeoExT)
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hu, YingjieUniversity at BuffaloUNSPECIFIEDUNSPECIFIED
Resch, BerndUniversität SalzburgUNSPECIFIEDUNSPECIFIED
Kersten, JensUNSPECIFIEDhttps://orcid.org/0000-0002-4735-7360UNSPECIFIED
Date:16 March 2023
Journal or Publication Title:45th European Conference on Information Retrieval, ECIR 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Series Name:Lecture Notes in Computer Science
Keywords:Geographic information extraction; document geolocation; geoparsing; toponym recognition; toponym resolution
Event Title:45th European Conference on Information Retrieval
Event Location:Dublin, Ireland
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Environment, Health and Big Data
Location: Jena
Institutes and Institutions:Institute of Data Science > Data Acquisition and Mobilisation
Deposited By: Hu, Xuke
Deposited On:05 Dec 2023 11:31
Last Modified:07 Mar 2024 09:47

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.