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Technology of Web Service Classification can be widely used in the area of service applications. With the rapid growth of services, service classification turn to work in a poor performance. In this paper, we propose an efficient algorithm based on Locality Sensitive Hashing (LSH) to solve the service classification problem. This method is capable of high dimensional service classification as well...
Automatic web services composition approaches aim at automatically composing services to satisfy users' request according to the information of users' input. As the number of web services is increasing, the performance of automatic service composition is faced with challenges. In this paper, we propose an approach based on backward chaining method to compose web services with high performance and...
The semantic connection between services reflects the correlation among Web Services on business logic. Therefore it is considered that the semantic connection between services is an essential of Web service composition and execution. In this paper, we analysis the semantic link of output and input messages among different services, and then, a semantic-based message interaction model of web services...
As the multiplicity of traditional network management models coexists, and each management information language has a different level of semantic expressiveness, this paper proposes the use of semantic web service technology as a new approach to improve the semantic expressiveness of management information languages. Applying ontology to management information languages can be useful for integration...
A principal aspiration of cloud computing is to create an Internet-based platform that facilitates the development of Web-scale services. By presenting this platform and infrastructure (including datacenters) as a service for developers, together with cloud-based software and data as a service for users, cloud computing promises to "level the playing field" such that small start-up ventures...
Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel attempt at model-free image annotation, which is a data-driven approach that annotates images by mining their search results. Some 2.4 million images with their surrounding text are collected from a few photo forums to support...
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