Conceptualising the geographic world: the dimensions of negotiation in crowdsourced cartography

Ballatore, Andrea; Mooney, Peter

doi:10.1080/13658816.2015.1076825

Cited by 38 publications

(31 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The characteristics of VGI to be collected and maintained by a community implies that the advancement of the dataset and its underlaying folksonomy, that is, the semantics of the tags used in OSM, are not controlled by a single person or authority but rather the result of a community-driven process [8][9][10]. The tools and services used to produce and process the data are neither.…”

Section: Introductionmentioning

confidence: 99%

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Mocnik

Mobasheri

Zipf

2018

Open geospatial data, softw. stand.

View full text Add to dashboard Cite

OpenStreetMap and other Volunteered Geographic Information datasets have been explored in the last years, with the aim of understanding how their meaning is rendered, of assessing their quality, and of understanding the community-driven process that creates and maintains the data. Research mostly focuses either on the data themselves while ignoring the social processes behind, or solely discusses the community-driven process without making sense of the data at a larger scale. A holistic understanding that takes these and other aspects into account is, however, seldom gained. This article describes a server infrastructure to collect and process data about different aspects of OpenStreetMap. The resulting data are offered publicly in a common container format, which fosters the simultaneous examination of different aspects with the aim of gaining a more holistic view and facilitates the results' reproducibility. As an example of such uses, we discuss the project OSMvis. This project offers a number of visualizations, which use the datasets produced by the server infrastructure to explore and visually analyse different aspects of OpenStreetMap. While the server infrastructure can serve as a blueprint for similar endeavours, the created datasets are of interest themselves too.

show abstract

Section: Introductionmentioning

confidence: 99%

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Mocnik

Mobasheri

Zipf

2018

Open geospatial data, softw. stand.

View full text Add to dashboard Cite

show abstract

“…Furthermore, they have been generalised to describe inequalities in other fields, such as education [19] and Wikipedia contributions [20]. In recent literature, they are also used to analyse OSM Wiki editing activities [21]. In our context, assuming that contributors are sorted by their contributions ascendingly, we choose the cumulative share of contributors as X and the cumulative share of contributions as Y, and get a Lorenz curve for OSM contributions.…”

Section: Inequalitymentioning

confidence: 99%

Temporal Analysis on Contribution Inequality in OpenStreetMap: A Comparative Study for Four Countries

Yang

Fan

Jing

et al. 2016

IJGI

View full text Add to dashboard Cite

Contribution inequality widely exists in OpenStreetMap (OSM), which means that most data come from a minority of the contributors, while the majority only accounts for a small percentage of data. This phenomenon is of great importance to understanding from where the data come and how the project evolves. The investigation in this paper is dedicated to answering the following questions: How does contribution inequality change over time in OSM? Which group of contributors plays a more important role in influencing trends in contribution inequality: the "vocal minority" or the "silent majority"? To answer the first question, we provide overall measurements for contribution inequality using the Lorenz curve and the Gini coefficient. To answer the second question, we use quantile-based classifying strategy to analyze structural changes in the community, and use the Mann-Whitney-Wilcoxon test to analyze productivity changes. Our case study shows that in countries without significant imports, contributions become more unequal over time. This trend is consistent with the rapid expansion of the silent majority, even though other classes of contributors also grow at a slower pace. On the other hand, contribution inequality fluctuates a lot in countries with huge imports, and agrees well with the productivity changes in the vocal minority.

show abstract

“…Most of the observable negotiation in OSM revolves around ontology engineering, i.e. the extraction of an explicit conceptualization from tacit knowledge, but in an informal, online setting (Ballatore & Mooney 2015). The dimensions of this negotiation can be summarized as follows:…”

Section: Vgi and Meaningmentioning

confidence: 99%

Semantic Challenges for Volunteered Geographic Information

Ballatore

2016

European Handbook of Crowdsourced Geographic Information

Self Cite

View full text Add to dashboard Cite

Vast swaths of geographic information are produced by non-professional contributors using online collaborative tools. To extract value from the data, creators and consumers alike need some degree of consensus about what the entities of their domain of interest are and how they are related. Traditional information communities, such as government agencies, universities, and corporations, have devised informal and formal mechanisms to reduce the misinterpretation of the data they rely on, curating vocabularies, standards, and, more recently, formal ontologies. Because of the decentralized, fragmented nature of peer production, semantic agreements are more difficult to establish and to document in volunteered geographic information (VGI), severely limiting the re-usability and, ultimately, the value of the data. This paper provides an overview of the semantic issues experienced in VGI, and what potential solutions are emerging from research in geo-semantics and in the Semantic Web. The paradigm of Linked Data is discussed as a promising route to handle the semantic fragmentation of VGI, reducing the friction between data producers and consumers.

show abstract

Conceptualising the geographic world: the dimensions of negotiation in crowdsourced cartography

Cited by 38 publications

References 34 publications

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Temporal Analysis on Contribution Inequality in OpenStreetMap: A Comparative Study for Four Countries

Semantic Challenges for Volunteered Geographic Information

Contact Info

Product

Resources

About