Extraction and exploration of spatio-temporal information in documents
Proceedings of the 6th Workshop on Geographic Information Retrieval
GeoCLEF 2008: the CLEF 2008 cross-language geographic information retrieval track overview
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
A ranking approach based on example texts for geographic information retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Ontology-based query construction for GeoCLEF
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
LogCLEF 2009: the CLEF 2009 multilingual logfile analysis track overview
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Challenges for indexing in GIR
SIGSPATIAL Special
SIGSPATIAL Special
Evaluating GIR: geography-oriented or user-oriented?
SIGSPATIAL Special
Every document has a geographical scope
Data & Knowledge Engineering
Map search via a factor graph model
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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GeoCLEF ran as a regular track for the second time within the Cross Language Evaluation Forum (CLEF) 2007. The purpose of GeoCLEF is to test and evaluate cross-language geographic information retrieval (GIR): retrieval for topics with a geographic specification. GeoCLEF 2007 consisted of two sub tasks. A search task ran for the third time and a query classification task was organized for the first. For the GeoCLEF 2007 search task, twenty-five search topics were defined by the organizing groups for searching English, German, Portuguese and Spanish document collections. All topics were translated into English, Indonesian, Portuguese, Spanish and German. Several topics in 2007 were geographically challenging. Thirteen groups submitted 108 runs. The groups used a variety of approaches. For the classification task, a query log from a search engine was provided and the groups needed to identify the queries with a geographic scope and the geographic components within the local queries.