OurMap: Representing Crowdsourced Annotations on Geospatial Coordinates as Linked Open Data

Gonzalez, André Lins; Izidoro, Diego; Willrich, Roberto; Santos, Celso A. S.

doi:10.1007/978-3-642-41347-6_7

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…As an example, in an object processing Task , the Crowdsourcer provides images as Assets to the Workers process them. In another example, in an object production Task , the Workers must submit georeferenced pictures to create a data set, as proposed by Gonzalez et al [68]. In this last case, each Worker provides his or her own smartphone as an Asset , with the Global Positioning System (GPS) turned on, to take the pictures with contextual information (geospatial coordinates).…”

Section: A General Structural Conceptual Model For Crowd-powered Proj...mentioning

confidence: 99%

Essential elements, conceptual foundations and workflow design in crowd-powered projects

Santos

Baldi

Neto

et al. 2022

Journal of Information Science

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Crowdsourcing arose as a problem-solving strategy that uses a large number of workers to achieve tasks and solve specific problems. Although there are many studies that explore crowdsourcing platforms and systems, little attention has been paid to define what a crowd-powered project is. To address this issue, this article introduces a general-purpose conceptual model that represents the essential elements involved in this kind of project and how they relate to each other. We consider that the workflow in crowdsourcing projects is context-oriented and should represent the planning and coordination by the crowdsourcer in the project, instead of only facilitating decomposing a complex task into subtask sets. Since structural models are limited to cannot properly represent the execution flow, we also introduce the use of behavioural conceptual models, specifically Unified Modeling Language (UML) activity diagrams, to represent the user, tasks, assets, control activities and products involved in a specific project.

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Section: A General Structural Conceptual Model For Crowd-powered Proj...mentioning

confidence: 99%

Essential elements, conceptual foundations and workflow design in crowd-powered projects

Santos

Baldi

Neto

et al. 2022

Journal of Information Science

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“…In the context-aware mode, the embedded sensors monitor their environment and activate the manual or automatic capturing function when previously set thresholds are exceeded. Data captured are often location-based [36]. The location coordinates, mostly simple point coordinates, are determined by an embedded location sensor (GPS etc.)…”

Section: Data (Collection Location Transmission Anonymization Promentioning

confidence: 99%

Architecture of Mobile Crowdsourcing Systems

Fuchs-Kittowski

Faust

2014

Lecture Notes in Computer Science

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Abstract. This paper proposes a general architecture and a classification scheme for mobile crowdsourcing systems, which are illustrated by two example applications. The aim is to gain a better understanding of typical functionalities and design aspects to be considered during development and evaluation of such collaborative systems.Keywords: crowdsourcing, crowdsourcing system, mobile crowdsourcing, crowdsourcing application, architecture, classification scheme. IntroductionMany organizations are increasingly using crowdsourcing as a new model for value creation, where new web technologies are used to outsource tasks, which are traditionally performed by a specialist or a small group of experts, to an undefined large group of people [1]. Meanwhile, mobile devices (phones, smartphones, tablets, and in the near future glasses, watches, and so on) have become ubiquitous and a tool for crowdsourcing [2]. In mobile crowdsourcing mobile devices are used for datacollection tasks delegated to a larger number of people as well as for the coordination among the people involved. In the recent years numerous mobile crowdsourcing applications have been realized and have shown the potential for business and society [3]. As the popularity of these applications increases, our understanding of how to design and deploy successful mobile crowdsourcing systems must improve [4]. Many systems described in the scientific literature were individual, task-specific, ad-hoc implementations [5]. Without a profound theoretical foundation, the development of such mobile crowdsourcing applications is still a difficult task and costs as well as the time needed for each development can be high.The objective of this paper is to gain a better understanding of typical functionalities and design aspects to be considered during development and evaluation of such collaborative systems. Thus, the way how mobile crowdsourcing applications are developed will shift from an ad-hoc manner to a planned routine. Based upon an extensive literature review, a categorization of existing applications of mobile crowdsourcing systems, and an overview of typical design aspects of mobile crowdsourcing

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