Letters on Geo graphic Information Retrieval Geo graphic Information Retrieval
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چکیده
منابع مشابه
Geographic Information Retrieval based on Two Orthogonal Criteria
A Geographic Information Retrieval (GIR) model is defined and the architecture of a GIR system, named Geo-Finder, is described. The GIR system is constituted by two main modules. The geo-indexing module applies bipolar criteria to automatically identify the geo-reference focus (footprint) of textual documents. The geo-retrieval module applies a context dependent matching function to evaluate qu...
متن کاملCapturing Shape and Text for Retrieval
We present a system for content-based retrieval of line drawings. Line drawings are schematic diagrams consisting of two kinds of information, text and graphics. The textual part is indexed from the results of word recognition. The indexing for the graphic content uses no a-priori knowledge about the content of a drawing and depends only on features derived from the shape of graphic structures....
متن کاملRe-Ranking for Geo-Relevance With Non-Contextual Heuristics at GeoCLEF 2007
Geographic Information Retrieval (GIR) in an attempt to improve relevance by taking geographic information in textual documents into account. We describe out experiments carried out at the GeoCLEF 2007 evaluation [1] that investigate further the role of geo-filtering based re-ranking and query expansion with geographic terms. Our main findings are that manual query expansion with geo-terms is m...
متن کاملFlexible Querying in Geo-Finder
The evaluation of queries specifying both content based conditions and spatial conditions on documents contents in Geographic Information Retrieval requires representing the vagueness and context dependency of spatial conditions and the personal user’s preferences. The Geo-Finder system [1] implements a Geo-Retrieval model that evaluates flexible spatial queries combined with content queries. T...
متن کاملInvestigating Summarization Techniques for Geo-Tagged Image Indexing
Images with geo-tagging information are increasingly available on the Web. However, such images need to be annotated with additional textual information if they are to be retrievable, since users do not search by geo-coordinates. We propose to automatically generate such textual information by (1) generating toponyms from the geo-tagging information (2) retrieving Web documents using toponyms a...
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