智慧学习对教学资源平台提出的各种新需求，数字资源智慧服务门户以当前各高校资源平台为基础进行构建，该服务门户由具备典型个性服务特征的个人门户、面向群体性特征的协作门户和面向资源管理的资源门户构成。由于资源对象来源于现有各高校或互联网上的资源系统，具有独立、分散且不断持续增加的特性，资源门户设计了引入规则库和别名库的抽取系统，抽取规则上引入了改进的蚂蚁算法，实现了各资源系统的抽取规则在自动提取后自动完成资源平台数据的增量抽取。这一研究为高校或机构用户以低成本、短周期为目标实现迎合智慧学习的数字资源平台的提升提供参考。%Facing the new needs that wisdom learning bring to the platform of teaching resources, the digital resources service por-tal should be built based on the resource platform of universities. The service portal is composed of a typical service portal of personality characteristics, an individual service portal of group collaboration features and a portal resource management portal. The resource ob-jects come from the resource system of universities or of the Internet, and they have the independent, decentralized and continually growing characteristics, so the resource portal is designed to introduce the rule database and alias database extraction system. It intro-duces an improved ant algorithm extract rules, and it has achieved that after the system automatically is extracted, each incremental da-ta of resource extraction platform is also completed. This study would provide reference to enhance the university or institution users' digital resources, which achieved with low cost and short cycle and cater to the intelligence learning.
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