WordCrowd – A Location-Based Application to Explore the City based on Geo-Social Media and Semantics

Milleville, Kenzo; Ali, Dilawar; Porras Bernardez, Francisco; Verstockt, Steven; van de Weghe, Nico; Gartner, Georg

doi:10.34726/lbs2019.29

Record link:

https://doi.org/10.34726/lbs2019.29
http://hdl.handle.net/20.500.12708/664

Title:

WordCrowd – A Location-Based Application to Explore the City based on Geo-Social Media and Semantics

Citation:

Milleville, K., Ali, D., Porras Bernardez, F., Verstockt, S., van de Weghe, N., & Gartner, G. (2019). WordCrowd – A Location-Based Application to Explore the City based on Geo-Social Media and Semantics. In LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services / Gartner, Georg; Huang, Haosheng. Wien. https://doi.org/10.34726/lbs2019.29

reposiTUm DOI:

10.34726/lbs2019.29

CatalogPlus:

AC15513005

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Milleville, Kenzo
Ali, Dilawar
Porras Bernardez, Francisco
Verstockt, Steven
van de Weghe, Nico
Gartner, Georg

Organisational Unit:

E120 - Department für Geodäsie und Geoinformation

Published in:

LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services

Date (published):

2019

Publisher:

Wien

Keywords:

Geo-social Media; Location-based Service; Spatial Clustering; Word Clouds

Abstract:

WordCrowd is a dynamic location-based service that visualizes and analyzes geolocated social media data. By spatially clustering the data, areas of interest and their descriptions can be extracted and compared on different geographical scales. When walking through the city, the application visualizes the nearest areas of interest and presents these in a word cloud. By aggregating the data based on the country of origin of the original poster, we discover differences and similarities in tourist interest between different countries. This work is part of the project Eureca: European Region Enrichment in City Archives and Collections of Ghent University (IDLab, CartoGIS), the Technical University of Vienna (Research Group Cartography) and several city and state archives from Ghent and Vienna.

License:

CC BY 4.0