Leveraging VGI for Gazetteer Enrichment: A Case Study for Geoparsing Twitter Messages

Oliveira, Maxwell Guimarães de; Campelo, Cláudio E. C.; Baptista, Cláudio de Souza; Bertolotto, Michela

doi:10.1007/978-3-319-18251-3_2

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The tags in each cell are weighted based on spatial entropy that the tags which are user specific or general are assigned less weight. The authors offered several refinements over a language model-based approach [18] which has been showed to have competing performance. The authors showed that the proposed refinements result with excellent improvement regarding the geo-tagging precision and the accuracy of the geo-tagging output.…”

Section: B Automatic Gazetteer Expansion or Enrichmentmentioning

confidence: 99%

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Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos

Bui

2023

IEEE Access

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The accuracy and completeness of information in geographical databases are very important for many location-based applications and services. However, the incompleteness in geographical databases is currently an issue. One consequence of this is that the geographic bounding boxes of many points of interests (POIs) have not been known. This paper studies the problem of estimating geographic bounding boxes for POIs using geo-tagged photos contributed by public users on social media. We present a novel approach using relevant geo-tagged photos of POIs to estimate geographic bounding boxes for the POIs. In the proposed method, we extend to apply survival analysis with random distance variable for our estimation. We demonstrate the superiority and effectiveness of our proposed approach over competing methods.INDEX TERMS Geographic bounding box, POI, survival analysis, geo-tagged photos, Flickr.

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Section: B Automatic Gazetteer Expansion or Enrichmentmentioning

confidence: 99%

“…The approach also uses many similarity metrics to specify equivalent toponyms. Oliveira et al [18] introduced a novel approach for gazetteer enrichment based on VGI data sources. In reality, VGI environments are not built to work as gazetteers.…”

Section: B Automatic Gazetteer Expansion or Enrichmentmentioning

confidence: 99%

Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos

Bui

2023

IEEE Access

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Geolocating tweets via spatial inspection of information inferred from tweet meta-fields

Zohar

2021

International Journal of Applied Earth Observation and Geoinfor

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Leveraging VGI for Gazetteer Enrichment: A Case Study for Geoparsing Twitter Messages

Cited by 2 publications

References 13 publications

Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos

Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos

Geolocating tweets via spatial inspection of information inferred from tweet meta-fields

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