Exploring information diffusion in network of semantically annotated web service interfaces

Information diffusion has been studied between and within biosphere, microblogs, social networks, citation networks and other domains where the network structure is present. These studies have been useful for acquiring intrinsic knowledge for strategic decision making in related areas, such as planning online campaigns in case of microblogs and blogosphere. However, despite of the advances in services science, no study has been published on analyzing information diffusion in Web services networks. This paper presents a model for measuring information diffusion between commodities of annotated Web services' descriptions. First, we exploit our previously developed ontology learning and annotation mechanism to semantically annotate harvested Web services' interface descriptions. Next, Web services networks are constructed by matching semantically annotated and categorized interfaces. Then we apply the proposed information diffusion discovery model to the constructed Web services networks. We evaluate the proposed model on two case studies---information diffusion between Web services of national registries and among commodities of public Web services. The model indicates high potential of the proposed method in understanding interactions between individual service providers and service industries.

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