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Extracting Toponyms from OpenStreetMap: A Cross-Linguistic Perspective

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成果类型:
会议论文
作者:
Ursini, Francesco-Alessio;Samo, Giuseppe
通讯作者:
Samo, Giuseppe(giuseppe.samo@unige.ch)
作者机构:
[Ursini, Francesco-Alessio] Central China Normal University, School of Chinese Language and Literature, 52, Dailyou Road, Wuhan
625762, China
[Samo, Giuseppe] University of Geneva, Department of Linguistics, Rue de Candolle 2, Geneva
1205, Switzerland
Beijing Language and Culture University, 15, Xue Yuan Road, Beijing
通讯机构:
[Samo, G.] U
University of Geneva, Rue de Candolle 2, Switzerland
语种:
英文
关键词:
Cross-linguistic analysis;OpenStreetMap;Toponym extraction;Toponym recognition
期刊:
CEUR Workshop Proceedings
ISSN:
1613-0073
年:
2023
卷:
3385
页码:
7-16
会议名称:
1st Workshop on Geographic Information Extraction from Texts, GeoExT 2023
会议时间:
April 2, 2023
会议地点:
Dublin, Ireland
主编:
Hu X.Hu Y.Resch B.Kersten J.Stock K.
出版者:
CEUR-WS
机构署名:
本校为第一机构
院系归属:
文学院
摘要:
In this paper we discuss three studies in which we performed toponym extraction from OpenStreetMap. The studies operated at three different levels of geographical resolution: city level (Macao), national level (Italy and its regions), and province level (Geneva and its district). We present a single algorithm that we used in each study to extract toponyms from the text database associated to the corresponding OSM map. For each study, we provide a summary of the results, some observations on the language-specific methodological and theoretical a...

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