2012
DOI: 10.1007/s10115-012-0571-0
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Geographic knowledge extraction and semantic similarity in OpenStreetMap

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Cited by 122 publications
(100 citation statements)
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References 55 publications
(88 reference statements)
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“…Many scholars have done a research on VGI projects, namely OpenStreetMap (e.g. ; Haklay, 2010;Arsanjani et al, 2013;Ballatore et al, 2013), Google Map and Bing Map (Cipeluch et al 2010) and Flickr and Panoramio (Zielstra and Hochmair, 2013).…”
Section: Volunteered Geographic Information Conceptmentioning
confidence: 99%
“…Many scholars have done a research on VGI projects, namely OpenStreetMap (e.g. ; Haklay, 2010;Arsanjani et al, 2013;Ballatore et al, 2013), Google Map and Bing Map (Cipeluch et al 2010) and Flickr and Panoramio (Zielstra and Hochmair, 2013).…”
Section: Volunteered Geographic Information Conceptmentioning
confidence: 99%
“…As such approaches rely on rich, formal definitions of geographic terms, they are unfit to compare volunteered lexical definitions. In our previous work, we have explored techniques suitable for VGI, such as graph-based measures of semantic similarity on the OSM Semantic Network (Ballatore et al 2012a). We have enriched the OSM semantic model with Semantic Web resources (Ballatore and Bertolotto 2011), and we have outlined a GIR system based on the semantic similarity of map viewports (Ballatore et al 2012b).…”
Section: Related Workmentioning
confidence: 99%
“…OSM contributors define, update and refer to these definitions to create and utilise the OSM vector data set. The OSM Semantic Network, a machine-readable semantic artefact, was extracted from the wiki website (Ballatore et al 2012a). 4 The average length of lexical definitions in the OSM Semantic Network is 44 terms, with a standard deviation of 33.…”
Section: Volunteered Lexical Definitionsmentioning
confidence: 99%
“…Some semantic similarity measures were also developed specifically for VGI. For example, [58] propose a semantic similarity measure for comparing OSM geographic classes. [59] also propose a semantic similarity measure for OSM features that takes into account the history of changes in the naming of these features.…”
Section: Semantic Annotationmentioning
confidence: 99%