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As the quantity of Web services grow continuously, it becomes more challenging for developers to navigate through and make use of them. Thus, a knowledge map consisting of a summary of individual services and their relations has become increasingly useful. There are two challenges in building such a knowledge graph for Web service ecosystems. First, services keep evolving in terms of function and...
A service ecosystem, consisting of various kinds of services and mashups, evolves over time. Existing works on the evolution of service systems focus on either evaluating the impacts of services' changes on the usage of services and the stability of the whole ecosystem, or discovering co-occurrences between services, but fail to disclose any knowledge about the evolution of service composition patterns...
Service recommendation plays a critical role in fostering the growth of service ecosystems. However, existing methods are mainly in favor of a small number of popular services while newly emerged ones (i.e., newborn services) are largely ignored, which hurts the systems in two aspects. First, the potential of many services, especially the newborn ones, is wasted. Second, service ecosystems highly...
Web service recommendation has become a critical problem as services become increasingly prevalent on the Internet. Some existing methods focus on content matching techniques, while others are based on QoS measurement. However, service ecosystem is evolving over time with services publishing, prospering and perishing. Few existing methods consider or exploit the evolution of service ecosystem on service...
Web service recommendation has become a critical problem as services become increasingly prevalent on the Internet. Some existing methods focus on content matching techniques such as keyword search and semantic matching while others are based on Quality of Service (QoS) prediction. However, services and their mashups are evolving over time with publishing, perishing and changing of interfaces. Therefore,...
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