A vector space model for automatic indexing
Communications of the ACM
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Finding wormholes with flickr geotags
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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The amount of geo-referenced information on the Web is increasing thanks to the large availability of location-aware mobile devices and map interfaces. In particular, in photo collections like Flickr the coexistence of geographic meta-data and text-based annotations (tags) can be exploited to infer new, useful information. This paper introduces a novel method to generate place profiles as vectors of user-provided tags from Flickr geo-referenced photos. These profiles can then be used to measure place similarity in terms of the distance between their matching vectors. A Web-based prototype has been implemented and used to analyze two distinct Flickr datasets, related to a chosen set of top tourism destinations. The system has been evaluated by real users with an online survey. Results show that our method is suitable to define similar destinations. Moreover, according to users, enriching place description with information from user activities provided better similarities.