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Growing number of services need efficiently locating the desired web services. The similarity metric plays an important role in service search. However, most solutions only exploit information available in the descriptions of services and employ a single similarity metric. We observe that under different contexts the descriptions of services vary in their level of semantic ambiguity. It is hardly...
Association Link Network (ALN) aims to establish associated relations among various resources. By extending the hyperlink network World Wide Web to an association-rich network, ALN is able to effectively support Web intelligence activities such as Web browsing, Web knowledge discovery, and publishing, etc. Since existing methods for building semantic link on Web resources cannot effectively and automatically...
Web service has already been an important paradigm for web applications. Growing number of services need efficiently locating the desired web services. The similarity metric of web services plays important role in service search and classification. The very small text fragments in WSDL of web services are unsuitable for applying the traditional IR techniques. We describe our approach which supports...
Web services are loosely coupled applications. Complex applications often need composition of services with simple functions. Many formalized models have been built for analyzing behaviors of service composition. For developers, it's necessary to quickly choose the adequate model for their composition scenarios. In this paper we provide a method which is able to decide efficiently whether a model...
Web service paradigm is important for the distributed internet-scale applications. Many developers wish to mask application-level failures from users and continue making forward progress. In this paper, we provide a kind of recovery approach for the distributed applications made by the composition of web services. Our approach aims at the application-level failures of the stateful business processes...
Personalized recommendation is a widely used application of Web personalized services which alleviate the burden of information overload by collecting information which meets user's needs. An essential of personalized recommendation is how to describe and obtain user's interests. Most existing approaches try to obtain interests from user's whole process of browsing. However, effective obtainment,...
Personalized services provide specific services to satisfy userpsilas real-time requirements. How to effectively discover and organize proper Web resources is a key issue. Based on Web knowledge flow which is used to semantically organize and represent Web resources that are recommended to user, this paper presents a 3-way strategy of finding proper resources for a user in multi-user environment....
In the Web personalization of Web service and construction of adaptive Web site, how to represent uses profile is one of the key issues. Aiming at solving the existing problems in representation of user profile includes incapability of effectively representing userpsilas recent interest, lack in dynamically effectively updating. This paper presents a new method of representation of user profile. By...
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