Talks and Poster Presentations (with Proceedings-Entry):
F. Ostermann, H. Huang, G. Andrienko, N. Andrienko, C. Capineri, K. Farkas, R. Purves:
"Extracting and Comparing Places using Geo-Social Media";
Talk: The 9th International Symposium on Spatial Data Quality,
La Grande Motte, France;
2015-09-29
- 2015-09-30; in: "ISPRS Geospatial Week 2015",
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences,
Ii-3 / W5 /
(2015),
311
- 316.
English abstract:
Increasing availability of Geo-Social Media (e.g. Facebook, Foursquare and Flickr) has led to the accumulation of large volumes of social media data. These data, especially geotagged ones, contain information about perception of and experiences in various environments. Harnessing these data can be used to provide a better understanding of the semantics of places. We are interested in the similarities or differences between different Geo-Social Media in the description of places. This extended abstract presents the results of a first step towards a more in-depth study of semantic similarity of places. Particularly, we took places extracted through spatio-temporal clustering from one data source (Twitter) and examined whether their structure is reflected semantically in another data set (Flickr). Based on that, we analyse how the semantic similarity between places varies over space and scale, and how Tobler's first law of geography holds with regards to scale and places.
Keywords:
User-generated Geographic Content, Volunteered Geographic Information, Geo-social Media, Semantic Similarity, Geographic Places
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.5194/isprsannals-II-3-W5-311-2015
Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_242929.pdf
Created from the Publication Database of the Vienna University of Technology.