Multi-source Toponym Data Integration and Mediation for a Meta-Gazetteer Service

Smart, Philip D.; Jones, Christopher B.; Twaroch, Florian A.

doi:10.1007/978-3-642-15300-6_17

Cited by 38 publications

(38 citation statements)

References 13 publications

(16 reference statements)

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“…The quality of user-contributed data has been also highlighted as a crucial factor in empirical research with geo-tagged photos (see for example Hollenstein & Purves 2010). Regarding OSM, Hahmann and Burghardt (2010) proposed to link OSM with GeoNames gazetteer using semantic web techniques to produce an enriched, multi-lingual gazetteer and Smart et al (2010) proposed a methodology for the conflation of toponymic data from multiple sources, including both authoritative and VGI datasets, and taking into account the quality differences of each source. However, as Mooney and Corcoran (2012) explain, developers of locationbased services should be cautious when it comes to using OSM data as their research on frequently edited features revealed considerable volatility in the naming process.…”

Section: Related Workmentioning

confidence: 99%

Quality analysis of the Parisian OSM toponyms evolution

Antoniou¹,

Touya²,

Raimond³

2016

European Handbook of Crowdsourced Geographic Information

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The paper presents empirical research on the quality of the toponyms that can be retrieved from OpenStreetMap (OSM) under the purpose of enriching authoritative toponymic databases and gazetteers. An analysis on the volatility of places and points-of-interest (POIs) is presented. We examine how named features behave and change in terms of type, name and location. The challenge is to understand the behavior and consequently the fitness-for-purpose of OSM data when it comes to a possible use and integration with authoritative datasets. We show that, depending on the OSM feature type, the volatility can vary considerably and we elucidate which feature types are consistent, and thus could be used in authoritative gazetteers despite their grassroots nature and if there are spatial patterns behind the location changes of features during their lifespan.

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Section: Related Workmentioning

confidence: 99%

Quality analysis of the Parisian OSM toponyms evolution

Antoniou¹,

Touya²,

Raimond³

2016

European Handbook of Crowdsourced Geographic Information

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“…The subject and relative toponyms are allocated salience values that can be used in selection and filtering of names using reverse geocoding and salience measurement methods (Figure 4, Rank Toponyms). The toponym reverse geocoding methods employ a meta-gazetteer that accesses multiple data sources, described in [25,30], while the toponym ranking process uses methods described and evaluated in [30]. In this paper we are concerned primarily with caption language structure rather than the issue of the appropriate selection of toponyms and so in the human subject evaluation experiments described here the toponyms were selected manually for input both to the language generation procedures and to the human-subject map annotators and evaluators.…”

Section: Selection and Filtering Of Toponyms With A Meta-gazetteermentioning

confidence: 99%

Spatial Natural Language Generation for Location Description in Photo Captions

Hall

Jones

Smart

2015

Spatial Information Theory

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Abstract. We present a spatial natural language generation system to create captions that describe the geographical context of geo-referenced photos. An analysis of existing photo captions was used to design templates representing typical caption language patterns, while the results of human subject experiments were used to create field-based spatial models of the applicability of some commonly used spatial prepositions. The language templates are instantiated with geo-data retrieved from the vicinity of the photo locations. A human subject evaluation was used to validate and to improve the spatial language generation procedure, examples of the results of which are presented in the paper.

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“…In describing place related terms, we are particularly interested in terms related to the 'where' facet. Much research has been carried out to explore what appropriate toponyms (that is to say the Specific Of/Where) for image indexing and query are (e.g., Naaman, et al, 2006;Grothe and Schaab, 2009;Keßler, et al, 2009;Popescu, et al, 2009;Smart, et al, 2010) but relatively little work has explored the Generic Of/Where or the About/Where, especially in terms of descriptions of place. Basic level theory suggests that terms belonging to the Generic Of/Where category should be more useful in both indexing and searching images, and thus provides impetus for exploring how such terms are used in UGC.…”

Section: Related Workmentioning

confidence: 99%

Describing place through user generated content

Purves

Edwardes

Wood

2011

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Geographically referenced user generated content provides us with an opportunity to, for the first time, gather perspectives on place over large areas by exploring how very many people describe information. We present a framework for analysing large collections of user generated content. This involves classification of descriptive terms attached by users to photographs into facets of elements, qualities, and activities. We apply this framework to two contrasting photographic archives -Flickr and Geograph, representing weakly and strongly moderated content respectively. We propose a method for removing user-generated bias from such collections though the user of term profiles that can assess the effect of the most and least prolific contributors to a collection. Analysis and visualization of co-occurrence between terms suggests clear differences in the description of place between the two collections, both in terms of the facets used and their geographical footprints. This is attributed to the role of moderation/editorialising of content; to the role tags and free-text have on descriptive behaviour and to the geographic footprint of content supplied by the two collections.

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Multi-source Toponym Data Integration and Mediation for a Meta-Gazetteer Service

Cited by 38 publications

References 13 publications

Quality analysis of the Parisian OSM toponyms evolution

Quality analysis of the Parisian OSM toponyms evolution

Spatial Natural Language Generation for Location Description in Photo Captions

Describing place through user generated content

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