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Learning to rank for geographic information retrieval
Proceedings of the 6th Workshop on Geographic Information Retrieval, 2010The task of Learning to Rank is currently getting increasing attention, providind a sound methodology for combining different sources of evidence. The goal is to design and apply machine learning methods to automatically learn a function from training data that can sort documents according to their relevance.
Bruno Martins, Pável Calado
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On metonymy recognition for geographic information retrieval
International Journal of Geographical Information Science, 2008Metonymically used location names (toponyms) refer to other, related entities and thus possess a meaning different from their literal, geographic sense. Metonymic uses are to be treated differently to improve the performance of geographic information retrieval (GIR).
Johannes Leveling, Sven Hartrumpf
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Geographic information retrieval to suit immediate surroundings
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2009This paper proposes a highly effective geographic information retrieval method. It assesses the extent implied by place names in documents and then emphasizes place names that are highly specific in terms of identifying locations. Furthermore, the method also assesses the proximity between place names and keywords in each document and adjusts the ...
Hiroyuki Toda +3 more
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Geographic Information Retrieval by Topological, Geographical, and Conceptual Matching
International Conference on GeoSpatial Semantics, 2007Geographic Information Science community is recognized that modern Geographic Information Retrieval systems should support the processing of imprecise data distributed over heterogeneous repositories. This means the search for relevant geographic results for a geographic query (QG) even if the data sources do not contain a result that matches exactly ...
F. Mata
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Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval
European Conference on Information Retrieval, 2020In this half-day tutorial, we will review the basic concepts of, methods for, and applications of geographic information retrieval, also showing some possible applications in fields such as the digital humanities. The tutorial is organized in four parts.
Jochen L. Leidner +3 more
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GIR@SIGSPATIAL, 2018
Geographic information retrieval (GIR) has largely been synonymous with spatial information retrieval. However, geographic information in text is not always explicitly, nor even implicitly, spatial, and when people are seeking geographic information, it ...
B. Adams
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Geographic information retrieval (GIR) has largely been synonymous with spatial information retrieval. However, geographic information in text is not always explicitly, nor even implicitly, spatial, and when people are seeking geographic information, it ...
B. Adams
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Geographic information retrieval (GIR)
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, 2004Information retrieval systems in operation today for applications ranging from Digital Libraries to Web Search make very little use of two major dimensions of the data being searched: location and time. For many applications these dimensions can provide an intuitive and understandable visualization of search constraints and results.
Ray R. Larson, Patricia Frontiera
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Semantic feedback in geographical information retrieval systems
Proceedings of the 15th French-speaking conference on human-computer interaction on 15eme Conference Francophone sur l'Interaction Homme-Machine - IHM 2003, 2003Based on previous works on geographical information (GI) modeling and information retrieval, we report on the development of a human-system interface for the AntéServeur Géographique project. The AntéServeur project is a middleware system that implements a framework for retrieving geographical data of heterogeneous nature.
Dumoncel, Franck +2 more
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Ontology‐based retrieval of geographic information
International Journal of Geographical Information Science, 2006Discovering and accessing suitable geographic information (GI) in the open and distributed environments of current Spatial Data Infrastructures (SDIs) is a crucial task. Catalogues provide searchable repositories of information descriptions, but the mechanisms to support GI retrieval are still insufficient.
M. Lutz, E. Klien
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Ontology-based retrieval of geographic information
2010 18th International Conference on Geoinformatics, 2010In the era of information explosion, information retrieval has become a bottleneck in information sharing and integration. However currently, the existing information retrieval methods are mainly based on keywords matching, which can not fully take advantage of the information context and potential knowledge.
Wei Liu +3 more
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