Service mashup is the act of integrating the resulting data of two complementary software services into a common picture. Such an approach is promising with respect to the discovery of new types of knowledge. However, before service mashup routines can be executed, it is necessary to predict which services (of an open repository) are viable candidates. Similar to Knowledge Discovery in Databases (KDD), we introduce the Knowledge Discovery in Services (KDS) process that identifies mashup candidates. In this work, the KDS process is specialized to address a repository of open services that do not contain semantic annotations. In these situations, specialized techniques are required to determine equivalences among open services with reasonable precision. This paper introduces a bottom-up process for KDS that adapts to the environment of services for which it operates. Detailed experiments are discussed that evaluate KDS techniques on an open repository of services from the Internet and on a repository of services created in a controlled environment.

Service-oriented computing (SOC) enables organizations and individual users to discover openly-accessible capabilities realized as services over the Internet. However, service registries can potentially be very large preventing organizations from discovering services in real-time. In fact, consumers may not be aware of the services that can be of most benefit to them. In our work, we introduce a web service recommender system that proactively discovers and manages web services. This paper focuses on the underlying search and ranking algorithms that enable the recommendations. As an innovation, we have analyzed real, fully-operational web services currently available on the Internet and, as a result, have discovered insights into how real web service messages are defined. Using these general naming tendencies coupled with enhanced syntactical methods, we are able to aggregate services by their messages and accurately suggest candidate services to users as a part of daily routines.

Service-oriented computing (SOC) enables organizations and individual users to discover openly-accessible capabilities realized as services over the Internet. Research in this area focuses on techniques for managing the messages that flow into and out of these services to ultimately compose higher-level functions. In our work, we investigate the nature of message definitions by analyzing real, fully-operational Web services currently available on the Internet (i.e., from the wild). By leveraging insights into how real Web service messages are defined, we develop enhanced syntactical methods to best aggregate these messages and ultimately the Web services