
It is considered that Web services have had a tremendous impact on the Web as a potential silver bullet for supporting a distributed service-based economy on a global scale. However, despite the outstanding progress, their uptake on a Web scale has been significantly less than initially anticipated. The reasons are: first, the existing Web service frameworks such as gtraditionalh Web services, semantic Web services, and Web APIs have had a limited impact, second, isolated service islands without links to related services have hampered service discovery and composition. In this paper, we propose a methodology to drive innovation from isolated service islands into the global social service network to connect the islands. First, we propose Linked social service-specific principles based on Linked Data principles for publishing services on the open Web as linked social services using our new service model, and suggest a new platform for constructing a global social service network. Then, an approach is proposed to enable exploitation of a global social service network, providing Linked social service as a service. Finally, experimental results show that the Linked social service can solve the service discovery problem by enabling exploring service to service based on the global social service network.
| 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). | 1 | |
| 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 |
