Describing locations using tags and images: explorative pattern mining in social media

Authors:
Florian Lemmerich;Martin Atzmueller
Affiliations:
Artificial Intelligence and Applied Computer Science, University of Würzburg, Würzburg, Germany;Knowledge and Data Engineering Group, University of Kassel, Germany
Venue:
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
Year:
2011

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Abstract

This paper presents an approach for explorative pattern mining in social media based on tagging information and collaborative geo-reference annotations. We utilize pattern mining techniques for obtaining sets of tags that are specific for the specified point, landmark, or region of interest. Next, we show how these candidate patterns can be presented and visualized for interactive exploration using a combination of general pattern mining visualizations and views specialized on geo-referenced tagging data. We present a case study using publicly available data from the Flickr photo sharing platform.