Abstract
This paper describes our participation at GeoCLEF 2005. We detail the main software components of our Geo-IR system, its adaptation for GeoCLEF and the obtained results. The software architecture includes a geographic knowledge base, a text mining tool for geo-referencing documents, and a geo-ranking component. Results show that geo-ranking is heavily dependent on the information in the knowledge base and on the ranking algorithm involved. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Cardoso, N., Martins, B., Chaves, M., Andrade, L., & Silva, M. J. (2006). The XLDB Group at GeoCLEF 2005. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4022 LNCS, pp. 997–1006). Springer Verlag. https://doi.org/10.1007/11878773_111
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