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RISCollusion-resistant Worker Selection in Social Crowdsensing Systems
of collusion among participants, thus threatening the application security and affecting data quality. In this paper, we propose a collusion-resistant worker selection method which aims to prevent the selection of colluders as suitable participants. For each...
Exposure data and risk indicators for safety performance assessment in Europe
Data Quality Control in Biodiversity Informatics: The Case of Species Occurrence Data
Bayesian networks for maritime traffic accident prevention: Benefits and challenges
A Reputation Framework for Social Participatory Sensing Systems
Social participatory sensing is a newly proposed paradigm that tries to address the limitations of participatory sensing by leveraging online social networks as an infrastructure. A critical issue in the success of this ...
Proposed metrics for data accessibility in the context of linked open data
web context.
Design/methodology/approach
– In this paper, at first the authors consider some data quality and LOD quality models to review proposed subcategories for data accessibility dimension in related texts. Then...
A Trust Framework for Social Participatory Sensing Systems
The integration of participatory sensing with online social networks affords an effective means to generate a critical mass of participants, which is essential for the success of this new and exciting
paradigm. An ...