Geographic information retrieval (GIR) ranking methods for digital libraries

Authors:
Ray R. Larson;Patricia Frontiera
Affiliations:
University of California - Berkeley, Berkeley, CA;University of California - Berkeley, Berkeley, CA
Venue:
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Year:
2004

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Multi-Dimensional Scattered Ranking Methods for Geographic Information Retrieval*

Geoinformatica
Discovering gis sources on the web using summaries

Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries

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Abstract

This demo will presents results from an evaluation of algorithms forranking results by probability of relevance for Geographic Information Retrieval (GIR) applications. We will demonstrate an algorithm for GIR ranking based on logistic regression from samples of the test collection We also show the effects of different representations of the geographic regions being searched, including minimumbounding rectangles, convex hulls, and complex polygons.