Data trustworthiness and user reputation as indicators of VGI quality

Fogliaroni, Paolo; D’Antonio, Fausto; Clementini, Eliseo

doi:10.1080/10095020.2018.1496556

Cited by 39 publications

(21 citation statements)

References 36 publications

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“…In this paper, we have described a conceptual framework for spatial relations modeling. Spatial relations find applications in many endeavors, from spatial databases to crowdsourced geoinformation [42,56], from geographic information retrieval to indoor navigation [61]. The framework categorizes spatial relations in six independent criteria (orthogonal axes).…”

Section: Resultsmentioning

confidence: 99%

A Conceptual Framework for Modelling Spatial Relations

Clementini¹

2019

ITC

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Various approaches lie behind the modelling of spatial relations, which is a heterogeneous and interdisciplinary field. In this paper, we introduce a conceptual framework to describe the characteristics of various models and how they relate each other. A first categorization is made among three representation levels: geometric, computational, and user. At the geometric level, spatial objects can be seen as point-sets and relations can be formally defined at the mathematical level. At the computational level, objects are represented as data types and relations are computed via spatial operators. At the user level, objects and relations belong to a context-dependent user ontology. Another way of providing a categorization is following the underlying geometric space that describes the relations: we distinguish among topologic, projective, and metric relations. Then, we consider the cardinality of spatial relations, which is defined as the number of objects that participate in the relation. Another issue is the granularity at which the relation is described, ranging from general descriptions to very detailed ones. We also consider the dimension of the various geometric objects and the embedding space as a fundamental way of categorizing relations.

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Section: Resultsmentioning

confidence: 99%

A Conceptual Framework for Modelling Spatial Relations

Clementini¹

2019

ITC

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“…Over the past decade, numerous methods and algorithms have been proposed to determine VGI quality based on the concepts of trustworthiness and reputation [31][32][33][34][35][36]. These methods assume that high degree of participation leads to high quality of data.…”

Section: Discussionmentioning

confidence: 99%

Volunteered Geographic Information Users Contributions Pattern and its Impact on Information Quality

Forati¹,

Ghose²

2020

Preprint

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Recent advancements in web-based geospatial software and smartphone technology have popularized the process of voluntary production and sharing of geospatial data by individual citizens. Through such Volunteered Geographic Information (VGI) activities, people across the world participate in online mapping projects (such as OpenStreetMap) to insert their spatial information. The quality of data generated by such VGI activities has profound impacts on online mapping projects and their spatial database. In this study, we examine the VGI contribution pattern in OpenStreetMap through three case study neighborhoods located in three major cities: Tehran, London, and Los Angeles, and investigate how it might affect the process of quality assessment of VGI.

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“…In the context of the social approach, certain trustworthy individuals play leading roles regarding the data quality assessment of VGI. From this viewpoint, further studies will be necessary to identify how trustworthiness (Flanagin et al, 2008, Fogliaroni et al, 2018 and reputation (Resnick et al, 2000) affect VGI data quality. Lastly, although data quality depends on not only the awareness/knowledge of the OSM contributor but also the procedures described, tools used, specifications, and above all his/her engagement with regard to implementing these aspects, in the present study, the authors have focused solely on addressing contributors' awareness/knowledge about data quality.…”

Section: Discussionmentioning

confidence: 99%

VGI contributors’ awareness of geographic information quality and its effect on data quality: a case study from Japan

Yamashita

Seto

Nishimura

et al. 2019

International Journal of Cartography

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In many countries, geospatial data are typically provided by public institutions. Cities have been mapped using such public data. On the other hand, the demand for geospatial data has been diversifying, given the requirements for mapping cities. To respond to demands for new geospatial data, creation of citizen-generated open data and volunteered geographic information (VGI) have recently become popular. However, the quality of such open data and VGI are not always guaranteed. The number of studies on quality assessments of VGI have increased in recent years. The present study aimed to identify OpenStreetMap (OSM), one type of VGI, as well as contributors' awareness of data quality, and the relationships between their awareness and the positional accuracy of the OSM data contributed by them. The results showed that awareness or lack of the positional accuracy did not affect the quality of the OSM data created by the contributors. These findings suggest that the crowdsourcing approach might not guarantee the data quality of VGI.

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Data trustworthiness and user reputation as indicators of VGI quality

Cited by 39 publications

References 36 publications

A Conceptual Framework for Modelling Spatial Relations

A Conceptual Framework for Modelling Spatial Relations

Volunteered Geographic Information Users Contributions Pattern and its Impact on Information Quality

VGI contributors’ awareness of geographic information quality and its effect on data quality: a case study from Japan

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