| 基于数据挖掘的面向话题搜索引擎研究 |
| |
| 引用本文： | 陈勇,张佳骥,吴立德,刘海娟.基于数据挖掘的面向话题搜索引擎研究[J].无线电通信技术,2011,37(5):38-40. |
| |
| 作者姓名： | 陈勇 张佳骥 吴立德 刘海娟 |
| |
| 作者单位： | 1. 中国电子科技集团公司第五十四研究所,河北石家庄,050081
2. 复旦大学,上海,200433 |
| |
| 摘 要： | 为了解决面向话题的搜索问题,提出一种新的面向话题的检索技术。首先分析了面向话题的搜索技术所面临的问题,然后基于数据挖掘技术提出了解决方案。利用数据挖掘技术抽取文本的多层次语义特征,形成对文本的多精度表示,抽取的特征不仅包括单个词特征也包括多词特征。建立了一个示例检索系统,实验表明利用多层次文本特征能够很好地实现面向话题的文本检索。
|
| 关 键 词： | 信息检索 数据挖掘 文本分析 |
Research on Topic Oriented Search Engine Based on Data Mining Technology |
| |
| CHEN Yong,ZHANG Jia-ji,WU Li-de,LIU Hai-juan.Research on Topic Oriented Search Engine Based on Data Mining Technology[J].Radio Communications Technology,2011,37(5):38-40. |
| |
| Authors: | CHEN Yong ZHANG Jia-ji WU Li-de LIU Hai-juan |
| |
| Affiliation: | CHEN Yong1,ZHANG Jia-ji1,WU Li-de2,LIU Hai-juan1(1.The 54th Research Institute of CETC,Shijiazhuang Hebei 050081,China,2.FuDan University,Shanghai 200433,China) |
| |
| Abstract: | A novel topic-oriented text retrieval approach is proposed in this paper. In this approach,data mining techniques are used to extract multi-level semantic features from texts, generating multi-precision representation on text. Features extracted from text include both single word features and multi-word features. With this approach, more significant feature in text can be discovered and used. Extracted features are closed to the essence of texts. Experiments show that multi-level features can be used to create a topic-oriented text retrieval system. |
| |
| Keywords: | information retrieval data mining text analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
