Context Mashup is emerging as a promising software development method for allowing
software developers to compose existing Web APIs to create new or value-added composite …

The purpose of this study is to identify, summarize, and systematically compare various
clustering and association rule techniques for web service discovery and recommendation …

Clustering Web services into functionally similar clusters is a very efficient approach to
service discovery. A principal issue for clustering is computing the semantic similarity …

Along with the growing number of mashups, there have been many changes in their
diversity as well. With the creation of a wide variety of mashup services, it has become …

Service network analysis is an essential aspect of web service discovery, search, mining
and recommendation. Many popular web service networks are content-rich in terms of …

Web 服务数量的激增对服务发现提出了更高的要求, 服务聚类是促进服务发现的一种重要技术.
但是, 现有服务聚类方法只对单一类型的服务文档进行聚类, 缺乏考虑服务的领域特性和服务 …

Mashup developers often need to find open application programming interfaces (APIs) for
their composition application development. Although most enterprises and service …

With the growing popularity of Internet of Things (IoT) technologies and sensors deployment,
more and more cities are leaning towards smart cities solutions that can leverage this rich …

Service discovery is an integral issue in the area of service oriented computing (SOC). A
centralized platform based service discovery suffers from major drawbacks such as …

Organizing Web services into functionally similar clusters, is an efficient approach to
discovering Web services efficiently. An important aspect of the clustering process is …