Summary
Geographic Information Retrieval is concerned with retrieving documents that are related to some location. This paper addresses the ranking of documents by both textual and spatial relevance. To this end, we introduce distributed ranking, where similar documents are ranked spread in the list instead of consecutively. The effect of this is that documents close together in the ranked list have less redundant information. We present various ranking methods, efficient algorithms to implement them, and experiments to show the outcome of the methods.
This research is supported by the EU-IST Project No. IST-2001-35047 (SPIRIT).
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van Kreveld, M., Reinbacher, I., Arampatzis, A., van Zwol, R. (2005). Distributed Ranking Methods for Geographic Information Retrieval. In: Developments in Spatial Data Handling. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26772-7_18
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DOI: https://doi.org/10.1007/3-540-26772-7_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22610-9
Online ISBN: 978-3-540-26772-0
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