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Embedding geographic locations for modelling the natural environment using flickr tags and structured data

Jeawak, Shelan S.; Jones, Christopher B.; Schockaert, Steven

Authors

Christopher B. Jones

Steven Schockaert



Abstract

Meta-data from photo-sharing websites such as Flickr can be used to obtain rich bag-of-words descriptions of geographic locations, which have proven valuable, among others, for modelling and predicting ecological features. One important insight from previous work is that the descriptions obtained from Flickr tend to be complementary to the structured information that is available from traditional scientific resources. To better integrate these two diverse sources of information, in this paper we consider a method for learning vector space embeddings of geographic locations. We show experimentally that this method improves on existing approaches, especially in cases where structured information is available.

Citation

Jeawak, S. S., Jones, C. B., & Schockaert, S. (2019). Embedding geographic locations for modelling the natural environment using flickr tags and structured data. In Advances in Information Retrieval. , (51-66). https://doi.org/10.1007/978-3-030-15712-8_4

Conference Name European Conference on Information Retrieval
Conference Location Cologne, Germany
Start Date Apr 14, 2019
End Date Apr 18, 2019
Acceptance Date Apr 1, 2019
Online Publication Date Apr 7, 2019
Publication Date Apr 7, 2019
Deposit Date Jun 5, 2020
Publisher Springer Verlag
Volume 11437
Pages 51-66
Series Title Lecture Notes in Computer Science
Book Title Advances in Information Retrieval
ISBN 9783030157111
DOI https://doi.org/10.1007/978-3-030-15712-8_4
Keywords Social media, Text mining, Vector space embeddings, Volunteered geographic information, Ecology
Public URL https://uwe-repository.worktribe.com/output/5986220
Additional Information First Online: 7 April 2019; Conference Acronym: ECIR; Conference Name: European Conference on Information Retrieval; Conference City: Cologne; Conference Country: Germany; Conference Year: 2019; Conference Start Date: 14 April 2019; Conference End Date: 18 April 2019; Conference Number: 41; Conference ID: ecir2019; Conference URL: https://ecir2019.org/