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Simon was a full-time PhD student in information retrieval at the Department of Computing, Imperial College London, in the Multimedia and Information Systems Group, supervised by Prof Stefan Rueger.

His research augmented the Geographic Information Retrieval process with information extracted from world knowledge. He approached this from three

directions: classifying world knowledge, disambiguating placenames and modelling users. Simon finished his PhD thesis http://people.kmi.open.ac.uk/stefan/www-pub/s.overell-phd.pdf Geographic Information Retrieval: Classification, Disambiguation and Modelling, in 2009 and has since joined TrueKnowledge Ltd in Cambridge.

Keys: mmis

Publications

Publications | Visit External Site for Details  

Overell, S. and Rueger, S. (2011) View of the world according to Wikipedia: Are we all little Steinbergs?, Journal of Computational Science, 2, 3, pp. 193-197, Elsevier B.V.

Publications | Download PDF Publications | Visit External Site for Details Publications | doi

Llorente, A., Overell, S., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rueger, S. (2008) Exploiting Term Co-occurrence for Enhancing Automated Image Annotation, Proceedings of the 9th Workshop of the Cross-Language Evaluation Forum (CLEF 2008), LNCS 5706, pp. 632--639, Springer

Publications | Download PDF Publications | Visit External Site for Details  

Overell, S., Llorente, A., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rueger, S. (2008) MMIS at ImageCLEF 2008: Experiments combining Different Evidence Sources, Working notes for the CLEF 2008 Workshop, Aarhus, Denmark

Publications | Visit External Site for Details  

Overell, S., Rae, A. and Rueger, S. (2008) Geographic and textual data fusion in Forostar, 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access, LNCS 5706, Aarhus, Denmark, pp. 838-842, Springer

Publications | Visit External Site for Details  

Overell, S. and Rueger, S. (2008) Using co-occurrence models for placename disambiguation, International Journal of Geographical Information Science, 22, 2, pp. 265-287, Taylor and Francis

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WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the...

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