Hu, Xuke and Sun, Yeran and Kersten, Jens and Klan, Friederike (2022) How can voting mechanisms improve the robustness of individual toponym resolution approaches? 17th International Conference on Location Based Services / LBS 2022, 2022-09-12 - 2022-09-14, Munich, Germany.
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Abstract
This paper investigates the feasibility of implementing a general and robust toponym resolution approach by ensembling multiple existing approaches through voting mechanisms. Experiments were conducted to compare two voting ensembles with nine individual approaches based on seven public datasets. The results show that the voting ensembles can achieve consistent measures of Accuracy@161km and mean error, outperforming the individual approaches.
Item URL in elib: | https://elib.dlr.de/188963/ | ||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
Title: | How can voting mechanisms improve the robustness of individual toponym resolution approaches? | ||||||||||||||||||||
Authors: |
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Date: | 2022 | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | Geoparsing; toponym resolution; Voting | ||||||||||||||||||||
Event Title: | 17th International Conference on Location Based Services / LBS 2022 | ||||||||||||||||||||
Event Location: | Munich, Germany | ||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||
Event Start Date: | 12 September 2022 | ||||||||||||||||||||
Event End Date: | 14 September 2022 | ||||||||||||||||||||
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: | 02 Nov 2022 11:06 | ||||||||||||||||||||
Last Modified: | 12 Jul 2024 09:44 |
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