基于模糊逻辑的模糊XML扩展

Extended Fuzzy XML Based on Fuzzy Logic

当前万维网的环境下,为网络用户提供强大支持的智能代理的主要障碍在于,网上的内容并不是机器可读的。不同于传统人工智能和计算语言学用一些日趋复杂的技术解决现有难题的方式,语义网采用容易被机器处理的表示形式描述网上内容来解决这个难题。XML作为语义网的底层标签语言在实际应用中已经发挥了很大的作用。各种团体和商界不仅创建基于XML的应用,而且也广泛使用XML作为不同应用之间的统一数据交换格式。考虑到现实中处处存在模糊现象和模糊概念,而经典的XML又不能处理这些模糊信息,所以有必要扩展经典XML模型使其可以表达模糊信息。文中在现有的模糊XML数据模型的基础上,进行进一步的拓展,使新的模糊XML模型既能与现有的模糊XML兼容,又能表达更强的模糊信息。

In the current World Wide Web environment,the main obstacle to implementing intelligent agents that provide powerful support for network users is that the content on the Internet is not machine-readable.Unlike traditional artificial intelligence and computational linguistics,which use increasingly complex techniques to solve existing problems,the Semantic Web solves this problem by describing online content in a form that is easily machine-processed.As the underlying tag language of the Semantic Web,XML has played a important role in real-world applications.Various groups and businesses not only create XML-based applications,but also use XML as a unified data exchange format between different applications.However,the real world is filled with fuzzy information and Classical XML is not able to represent and deal with fuzzy data.So it is necessary to extend Classical XML model.We propose a new fuzzy XML model based on the existing fuzzy XML data model,which can not only be compatible with the existing fuzzy XML,but also express more complex fuzzy information.