On the Dempster-Shafer framework and new combination rules
Information Sciences: an International Journal
Combining the results of several neural network classifiers
Neural Networks
Multiple evidence combination in image retrieval: Diogenes searches for people on the Web
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Proceedings of the 18th international conference on World wide web
Placing flickr photos on a map
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A new technique for combining multiple classifiers using the dempster-shafer theory of evidence
Journal of Artificial Intelligence Research
Towards ontology learning from folksonomies
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Towards automated georeferencing of Flickr photos
Proceedings of the 6th Workshop on Geographic Information Retrieval
Geotagging: using proximity, sibling, and prominence clues to understand comma groups
Proceedings of the 6th Workshop on Geographic Information Retrieval
Geo-Location estimation of flickr images: social web based enrichment
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Placing images on the world map: a microblog-based enrichment approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
Georeferencing Flickr resources based on textual meta-data
Information Sciences: an International Journal
A study on the accuracy of Flickr's geotag data
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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We explore the task of determining the geographic location of photos on Flickr, using combined evidence from Naive Bayes classifiers that are trained at different spatial resolutions. In particular, we estimate the location of Flickr photos, based on their tags, at four different scales, ranging from a city-level granularity to fine-grained intracity areas. Using Dempster-Shafer's evidence theory, we combine the output of the different classifiers into a single mass assignment. We demonstrate experimentally that the induced belief and plausibility measures are useful to determine whether there is sufficient evidence to classify the photo at a given granularity. Thus an adaptive method is obtained, by which photos are georeferenced at the most appropriate resolution.