Results 271 to 280 of about 591,611 (306)

Ontology‐based retrieval of geographic information

International Journal of Geographical Information Science, 2006
Discovering 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, 2010
In 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, Hehe Gu, Chunmin Peng, Dayu Cheng   +3 more
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Evaluating Geographic Information Retrieval

SIGSPATIAL Special, 2011
In GIR, as a research field branching from IR, initial evaluation initiatives were unsurprisingly inspired from established IR evaluation models. The GeoCLEF evaluation [6], which I will look into in some detail below, follows such a model. While this model suits the goal of a generic evaluation for all types of GIR systems, other evaluation ...
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Relevance ranking in Geographical Information Retrieval

SIGSPATIAL Special, 2011
The study of relevance is one of the central themes in information science where the concern is to match information objects with expressed information needs of the users. Despite substantial advances in search engines and information retrieval (IR) systems in the past decades, this seemingly intuitive concept of relevance remains to be an illusive one
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Toponym ambiguity in geographical information retrieval

Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009
The objectives of this research work is to study the effects of toponym (place name) ambiguity in the Geographical Information Retrieval (GIR) task. Our experience with GIR systems shows that toponym ambiguity may be an important factor in the inability of these systems to take advantage from geographical knowledge.
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Using GeoWordNet for Geographical Information Retrieval

2009
We present a method that uses GeoWordNet for Geographical Information Retrieval. During the indexing phase, all places are disambiguated and assigned their coordinates on the world map. Documents are first searched for by means of a term-based search method, and then re-ranked according to the geographical information.
Davide Buscaldi, Paolo Rosso
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Measuring Similarity of Geographic Regions for Geographic Information Retrieval

2009
Representations of geographic regions play a decisive role in geographic information retrieval, where the query is specified by a conceptual part and a geographic part. One aspect is to use them as query footprint which is then applied for the geographic ranking of documents.
Andreas Henrich, Volker Lüdecke
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Comparing Several Textual Information Retrieval Systems for the Geographical Information Retrieval Task

2008
This paper presents a comparison between three different Information Retrieval (IR) systems employed in a particular Geographical Information Retrieval (GIR) system, the GeoUJA IR, a GIR architecture developed by the SINAI research group. It could be interesting and useful for determining which of the most used IR systems works better in GIR task.
José M. Perea-Ortega, Miguel A. García-Cumbreras, Manuel García-Vega, L. A. Ureña-López   +3 more
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Applying Geo-feedback to Geographic Information Retrieval

2008
In this paper we identify location names that appear in queries written in Indonesian using geographic gazetteer. We built the gazetteer by collecting geographic information from a number of geographic resources. We translated an Indonesian query set into English using a machine translation technique.
Mirna Adriani, null Nasikhin
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Using Semantic Networks for Geographic Information Retrieval

2006
This paper describes our work for the participation at the GeoCLEF task of CLEF 2005. We employ multilayered extended semantic networks for the representation of background knowledge, queries, and documents for geographic information retrieval (GIR).
Johannes Leveling, Sven Hartrumpf, Dirk Veiel   +2 more
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