Ontology-based query construction for GeoCLEF

Authors:
Rui Wang;Günter Neumann
Affiliations:
Saarland University, Saarbrücken, Germany;LT-Lab, DFKI, Saarbrücken, Germany
Venue:
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Year:
2008

Citing 2
Cited 1

Incorporating non-local information into information extraction systems by Gibbs sampling

ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
GeoCLEF 2007: The CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview

Advances in Multilingual and Multimodal Information Retrieval

Concept based representations for ranking in geographic information retrieval

IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing

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Abstract

This paper describes experiments with geographical information retrieval (GIR). Being different from the traditional information IR, we focus more on the query expansion instead of document ranking. We parse each topic into the event part and the geographic part and use different ontologies to expand both parts respectively. The results show promising results of our strategy for this task.