An empirical study of the effects of NLP components on Geographic IR performance
International Journal of Geographical Information Science
Geographic features in web search retrieval
Proceedings of the 2nd international workshop on Geographic information retrieval
A case study of using geographic cues to predict query news intent
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Geographic and textual data fusion in Forostar
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Inferring and using location metadata to personalize web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
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We report on the experiments undertaken by the NICTA I2D2 Group as part of GeoCLEF 2006, as well as post-GeoCLEF evaluations and improvements to the submitted system. In particular, we used techniques to assign probabilistic likelihoods to geographic candidates for each identified geo-term, and a probabilistic IR engine. A normalisation process that adjusts term weights, so as to prevent expanded geo-terms from overwhelming non-geo terms, is shown to be crucial.