TY - GEN
T1 - Deriving Geolocations in Wikipedia
AU - Krause, Amir
AU - Cohen, Sara
N1 - Publisher Copyright: © 2020 ACM.
PY - 2020/10/19
Y1 - 2020/10/19
N2 - We study the problem of deriving geolocations for Wikipedia pages. To this end, we introduce a general four-step process to location derivation, and consider different instantiations of this process, leveraging both textual and categorical data. Extensive experimentation shows that our methods provide good precision-recall trade-offs and improvements over text-only methods. Hence, our system can be used to augment the geographic information of Wikipedia, and to enable more effective geographic information retrieval.
AB - We study the problem of deriving geolocations for Wikipedia pages. To this end, we introduce a general four-step process to location derivation, and consider different instantiations of this process, leveraging both textual and categorical data. Extensive experimentation shows that our methods provide good precision-recall trade-offs and improvements over text-only methods. Hence, our system can be used to augment the geographic information of Wikipedia, and to enable more effective geographic information retrieval.
KW - geographic information retrieval
KW - geotagging
KW - wikipedia
UR - https://www.scopus.com/pages/publications/85095863400
U2 - 10.1145/3340531.3417459
DO - 10.1145/3340531.3417459
M3 - Conference contribution
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 3293
EP - 3296
BT - CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management
T2 - 29th ACM International Conference on Information and Knowledge Management, CIKM 2020
Y2 - 19 October 2020 through 23 October 2020
ER -