Spatial Ranking Methods for Geographic Information Retrieval (GIR) in Digital Libraries

Spatial Ranking Methods for Geographic Information Retrieval (GIR) in Digital Libraries

This paper presents results from an evaluation of algorithms for ranking results by probability of relevance for Geographic Information Retrieval (GIR) applications. We review the work done on GIR and especially on ranking algorithms for GIR. We evaluate these algorithms using a test collection of 2...

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Bibliographische Detailangaben
Hauptverfasser: Larson, Ray R., Frontiera, Patricia
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Average Precision
Computer science
control theory
systems
Convex Hull
Digital Library
Exact sciences and technology
Information systems. Data bases
Memory organisation. Data processing
Ranking Method
Software
Test Collection
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Beschreibung
Zusammenfassung:This paper presents results from an evaluation of algorithms for ranking results by probability of relevance for Geographic Information Retrieval (GIR) applications. We review the work done on GIR and especially on ranking algorithms for GIR. We evaluate these algorithms using a test collection of 2500 metadata records from a geographic digital library. We present an algorithm for GIR ranking based on logistic regression from samples of the test collection. We also examine the effects of different representations of the geographic regions being searched, including minimum bounding rectangles, and convex hulls.
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-30230-8_5