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Dynamic service composition requires responding and adapting to changes in the computing environment when orchestrating existing services into one or more new services that fit better to a composite application. This paper abstracts the changes of the environment as a context world to store the physical contexts of the computing environment, user profiles and computed results of services as well....
As an improved model of fuzzy Petri net, adaptive Petri net (AFPN) has got the learning ability from neural network. But AFPN still depends on offline training data, while actual environment is so complex, vague and changeful that AFPN seems slightly inadequate. This paper proposes an approach based on fuzzy logic and feedback theory to improve AFPN. The approach introduces feedback mechanisms into...
When browsing news on the web, various emotions may be evoked in readers and furthermore cause different influence on their minds and life. We expect that emotional analysis and classification of text may provide good performance and significance to users surfing the Internet. Most previous research only focus on bi-emotion classification, that is, Positive and Negative, e.g., identifying whether...
Internet is becoming an increasingly important platform for ordinary life and work. It is expected that keyword extraction can help people quickly find hot spots on the web, since keywords in a document provide important information about the content of the document. In this paper, we propose to use text clustering method based on semi-supervised learning to get focuses of social topics in a large...
CSP is a process algebra defined by Hoare. A long-running transaction is an interaction of components from different systems which must be executed as a single atomic action. Ensuring consistency is important for long-running transaction. Because long-running transaction often needs cross-organizational services composition and could not use ACID semantic, so CSP is used to ensure the consistency...
Traditional ontology-based discovery of semantic Web services use similarity calculation of services and cluster to discovery Web services, on this basis, we present an improved service clustering approach and a framework for ontology-based flexible discovery of Semantic Web services. First of all, we use service analyzer to pick up information of service and use keywords to find out related services;...
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