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In the research of Web Service [1, 2], semantic information should be automatically discovered, selected and composed. These automations can make usage of Web Service easily. In this paper we propose a framework to facilitate the discovery of Web Service. In this framework, we use WSDRI (Web Service Discovery Information) to describe the semantic information. This framework which refers to client and Match Server is based on WSDRI. Then we evaluate the framework through the application on the internet to find that the framework is effective. Following this framework, it could be easy to discover the information of Web Service especially the semantic information. [ABSTRACT FROM AUTHOR]

Chaos and its application in an electrical system are studied in this paper. The simulation of chaos is presented. Some measures against the harm caused by chaos of ferroresonance are summarized. A utility scheme of chaos in the electrical system for steel smelting is proposed on the base of chaos controlling. [ABSTRACT FROM AUTHOR]

As a special form of unknown words, Chinese abbreviations represent significant problems for Chinese text processing. The goal of this study is to automatically find the definition for a Chinese abbreviation in the context where both the abbreviation and its definition occur, enforcing the constraint of one sense per discourse for an abbreviation. First, the candidate abbreviation-definition pairs are collected, and then a SVM approach using context information is employed to classify candidate abbreviation-definition pairs so that the pairs can be identified. The performance of the approach is evaluated on a manually annotated test corpus, and is also compared with two other machine learning approaches: Maximum Entropy and Decision Tree. Experimental results show that our approach reaches a good performance. [ABSTRACT FROM AUTHOR]