Abstract—Efficient and accurate discovery of user desired Web services is a key component for achieving the full potential of service computing. However, service discovery is a non-trivial task considering the large and fast growing service space. Meanwhile, Web services are typically autonomous and a priori unknown. This further complicates the service discovery problem. We pro-pose a service community learning algorithm that can generate homogeneous communities from the heterogeneous service space. This can greatly facilitate the service discovery process as the users only need to search within their desired service commu-nities. A key ingredient of the community learning algorithm is a co-clustering scheme that leverages the duality rela...
International audienceIn service-oriented computing, a user usually needs to locate a desired servic...
International audienceIn this paper, we propose a community application that helps users to access c...
The increasing size and complexity of online social networks have brought distinct challenges to the...
The Web has undergone a tremendous change toward a highly user-centric environment. Millions of user...
This paper presents studies on detecting community structure in web services formed network, which c...
As the number and variety of services increase, it is becoming difficult and time-consuming to locat...
Abstract — Community structure is the most common topological structure in complex networks. An impo...
The idea of a decentralised, self-organising service-oriented architecture seems to be more and more...
The World Wide Web is transitioning from being a mere collection of documents that contain useful in...
Abstract—Many popular web service networks are content-rich in terms of heterogeneous types of entit...
International audienceIn service-oriented computing, a user usually needs to locate a desired servic...
Web service composition is the process of synthesizing a new composite service using a set of availa...
International audienceWeb service composition is the process of synthesizing a new composite service...
Clustering is the subset of data mining techniques used to agnostically classify entities by looking...
Clustering is the subset of data mining techniques used to agnostically classify entities by looking...
International audienceIn service-oriented computing, a user usually needs to locate a desired servic...
International audienceIn this paper, we propose a community application that helps users to access c...
The increasing size and complexity of online social networks have brought distinct challenges to the...
The Web has undergone a tremendous change toward a highly user-centric environment. Millions of user...
This paper presents studies on detecting community structure in web services formed network, which c...
As the number and variety of services increase, it is becoming difficult and time-consuming to locat...
Abstract — Community structure is the most common topological structure in complex networks. An impo...
The idea of a decentralised, self-organising service-oriented architecture seems to be more and more...
The World Wide Web is transitioning from being a mere collection of documents that contain useful in...
Abstract—Many popular web service networks are content-rich in terms of heterogeneous types of entit...
International audienceIn service-oriented computing, a user usually needs to locate a desired servic...
Web service composition is the process of synthesizing a new composite service using a set of availa...
International audienceWeb service composition is the process of synthesizing a new composite service...
Clustering is the subset of data mining techniques used to agnostically classify entities by looking...
Clustering is the subset of data mining techniques used to agnostically classify entities by looking...
International audienceIn service-oriented computing, a user usually needs to locate a desired servic...
International audienceIn this paper, we propose a community application that helps users to access c...
The increasing size and complexity of online social networks have brought distinct challenges to the...