Development and evaluation of a geographic information retrieval system using fine grained toponyms
| Autor: | Ross S. Purves, Damien Palacio, Curdin Derungs |
|---|---|
| Přispěvatelé: | University of Zurich |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
UFSP13-3 Language and Space
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Geography Planning and Development lcsh:G1-922 User-generated content Information needs 1710 Information Systems 3305 Geography Planning and Development Component (UML) Computers in Earth Sciences 910 Geography & travel Baseline (configuration management) evaluation Information retrieval test collections 1903 Computers in Earth Sciences Geographic information retrieval Spatial query Metadata Geography Thematic map 10122 Institute of Geography user generated content Geographic Information Retrieval lcsh:Geography (General) Information Systems |
| Zdroj: | Journal of Spatial Information Science, Vol 2015, Iss 11, Pp 1-29 (2015) |
| DOI: | 10.5167/uzh-126078 |
| Popis: | Geographic information retrieval (GIR) is concerned with returning information in response to an information need, typically expressed in terms of a thematic and spa- tial component linked by a spatial relationship. However, evaluation initiatives have of- ten failed to show significant differences between simple text baselines and more complex spatially enabled GIR approaches. We explore the effectiveness of three systems (a text baseline, spatial query expansion, and a full GIR system utilizing both text and spatial in- dexes) at retrieving documents from a corpus describing mountaineering expeditions, cen- tred around fine grained toponyms. To allow evaluation, we use user generated content (UGC) in the form of metadata associated with individual articles to build a test collec- tion of queries and judgments. The test collection allowed us to demonstrate that a GIR- based method significantly outperformed a text baseline for all but very specific queries associated with very small query radii. We argue that such approaches to test collection development have much to offer in the evaluation of GIR. |
| Databáze: | OpenAIRE |
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