University of twente at GeoCLEF 2006: geofiltered document retrieval

Authors:
Claudia Hauff;Dolf Trieschnigg;Henning Rode
Affiliations:
University of Twente, Human Media Interaction Group, Enschede, The Netherlands;University of Twente, Human Media Interaction Group, Enschede, The Netherlands;University of Twente, Human Media Interaction Group, Enschede, The Netherlands
Venue:
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Year:
2006

Citing 2
Cited 3

GeoCLEF: the CLEF 2005 cross-language geographic information retrieval track overview

CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
CSUSM experiments in GeoCLEF2005: monolingual and bilingual tasks

CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories

Using co-occurrence models for placename disambiguation

International Journal of Geographical Information Science
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
Forostar: a system for GIR

CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the approach of the University of Twente at its first participation in GeoCLEF. A large effort went into the construction of a geographic thesaurus which was utilized to add geographic knowledge to the documents and queries. Geographic filtering was applied to the results returned from a retrieval by content run. Employing such a geographic knowledge base however showed no added value - the content-only baseline outperformed all geographically filtered runs.