一种轻量级的资源智能选择技术及实现

Light-weight Intellectual Selection of Resources and Its Application

数字图书馆的快速发展带来了馆藏数字资源的飞速增长,而海量的数字资源导致了检索速度的下降和检索结果准确度的降低。针对这两个问题,本文提出了一种解决方案:轻量级的资源智能选择技术。并提出了这种轻量级的资源智能选择技术的技术框架,然后对其各个组件进行详解,最后对其在CSDL跨库检索系统中的应用进行了评测。

One disadvantage of the fast growth of digital resources in digital libraries is the decrease of retrieval speed and result accuracy. To solve this problem, Light - weight Intellectual Selection of Resources uses a kind of fast, light - weight method without much manual work to evaluate all the digital resources and take out the irrelevant ones before the retrieval goes into resource details. In this paper, firstly the framework of Light - weight Intellectual Selection of Resources is given. Secondly its five components are analyzed. At last, its application in CSDL Cross - Database Search System is tested and the result is evaluated.