基于向量空间模型的学科交叉文献发现研究*--以情报学与计算机学科为例

摘要

以情报学与计算机科学为例，检索两个学科主要核心期刊的期刊论文，基于关键词构建向量空间模型并聚类，对文献进行分类，查找两个学科的交叉文献。最后，对找出的交叉文献通过随机选样，计算查准率，验证了方法的有效性。%Taking Intelligence and Computer Science for example, we retrieve the journals papers of their main core journals and construct the vector space model based on keyword. Then through clustering, we find out the crossover literature. Finally, by means of random sampling, we calculate the precision and verify that the method is effective.