English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The use of volunteers has emerged as low-cost alternative to generateaccurate geographical information, an approach known as Volunteered GeographicInformation (VGI). However, VGI is limited by the number and availability ofvolunteers in the area to be mapped, hindering scalability for large areas andmaking difficult to map within a time-frame. Fortunately, the availability ofstreet-view imagery enables the virtual exploration of urban environments,making possible the recruitment of contributors not necessarily located in thearea to be mapped. In this paper, we describe the design, implementation, andevaluation of the Virtual City Explorer (VCE), a system to collect thecoordinates of Points of Interest within a bounded area on top of a street viewservice with the use of paid crowdworkers. Our evaluation suggests that paidcrowdworkers are effective for finding PoIs, and cover almost all the area.With respect to completeness, our approach does not find all PoIs found byexperts or VGI communities, but is able to find PoIs that were not found bythem, suggesting complementarity. We also studied the impact of making PoIsalready discovered by a certain number of workers \emph{taboo} for incomingworkers, finding that it encourages more exploration from workers , increasethe number of detected PoIs , and reduce costs.

On the mapping of Points of Interest through StreetView imagery and paid crowdsourcing