Hu, Xuke und Sun, Yeran und Kersten, Jens und 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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Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/188963/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | How can voting mechanisms improve the robustness of individual toponym resolution approaches? | ||||||||||||||||||||
Autoren: |
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Datum: | 2022 | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Geoparsing; toponym resolution; Voting | ||||||||||||||||||||
Veranstaltungstitel: | 17th International Conference on Location Based Services / LBS 2022 | ||||||||||||||||||||
Veranstaltungsort: | Munich, Germany | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 12 September 2022 | ||||||||||||||||||||
Veranstaltungsende: | 14 September 2022 | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Umwelt, Gesundheit und Big Data | ||||||||||||||||||||
Standort: | Jena | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Datenwissenschaften > Datengewinnung und -mobilisierung | ||||||||||||||||||||
Hinterlegt von: | Hu, Xuke | ||||||||||||||||||||
Hinterlegt am: | 02 Nov 2022 11:06 | ||||||||||||||||||||
Letzte Änderung: | 12 Jul 2024 09:44 |
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