
Rewarding people is common in several contexts, such as human resource management and crowdsourcing applications. However, designing a reward strategy is not straightforward, as it requires considering different parameters. These parameters include, for example, management of rewarding tasks and identifying critical features, such as the type of rewards and possibilities such as gamification. Moreover, the lack of a common terminology introduces the problem of communication among experts and prevents integration among different reward strategies. An ontology can offer a common understanding among domain experts and flexible management of rewarding parameters. Apart from that, an ontology can also help in the interrelationship and integration between different reward schemes employed by different service providers. In this paper, we present REWARD, a general-purpose ontology for capturing various common features of diverse reward schemes. This ontology is a result of the CAP-A European project and its application to the crowdsourcing domain, but it is designed to cover different needs and domains.
Technology and Engineering, INCENTIVES
Technology and Engineering, INCENTIVES
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
