大规模组件库中组件检索的一种新方法

Lei Zhang, Lichao Chen, Lihu Pan, Yingjun Zhang
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引用次数: 4

摘要

为了提高大规模组件库的检索性能,本文提出了一种新的组件检索方法——自动标签提取(ATE)检索。该方法首先从组件描述文档中的应用领域项、高频项、高权重项和面项中自动提取组件标签,然后利用改进的向量空间模式相似度算法对标签进行检索。实验表明,与一些常用的检索方法相比,ATE检索更为可行和高效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel approach of components retrieval in large-scale component repositories
For improving the retrieval performance of large-scale component repositories, a novel approach of components retrieval, Automatic Tags Extraction(ATE) retrieval, is proposed in this paper. In this method, component tags are extracted automatically from application domain terms, high-frequency terms, high-weight terms and facet terms in description document of component at first, and then the improved VSM (Vector Space Mode) similarity algorithm is used to retrieve on the tags. Our experiments show that, compared with some common retrieval methods, the ATE retrieval is more feasible and efficient.
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