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Extracting and comparing places using Geo-Social Media


Ostermann, Frank O; Huang, Haosheng; Andrienko, Gennady; Andrienko, Natalia; Capineri, Cristina; Farkas, K; Purves, Ross S (2015). Extracting and comparing places using Geo-Social Media. In: Mallet, C; Paparoditis, N; Dowman, I; Oude Elberink, S; Raimond, A-M; Rottensteiner, F; Yang, M; Christophe, S; Coltekin, Arzu; Brédif, M. ISPRS Geospatial Week 2015. Göttingen: Copernicus Publications, 311-316.

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.

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.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2015
Deposited On:20 Jan 2016 17:25
Last Modified:28 Apr 2017 03:04
Publisher:Copernicus Publications
Series Name:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Number:II-3/W5
ISSN:2196-6346
Additional Information:ISPRS Geospatial Week 2015 (Volume II-3/W5) 28 September–3 October 2015, La Grande Motte, France
Publisher DOI:https://doi.org/10.5194/isprsannals-II-3-W5-311-2015

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