CAJ | 학술논문

农业专业搜索引擎对特定主题的农业信息进行检索，其信息量多、精确度低。针对此现状，以开源搜索引擎Nutch 为技术框架，对大豆主题网页资源采集系统进行了研究与设计。以大豆信息为主题，研究了主题相关度判别技术，借鉴 BM 25 F模型的分域思想、基于向量空间模型，提出了大豆主题相关度判别算法。在 Nutch 中引入IKAnalyzer 中文分词工具包，实现了大豆主题相关度的判别。实验结果表明，该算法能够显著地提高大豆主题网页资源采集的准确率。
농업전업수색인경대특정주제적농업신식진행검색，기신식량다、정학도저。침대차현상，이개원수색인경Nutch 위기술광가，대대두주제망혈자원채집계통진행료연구여설계。이대두신식위주제，연구료주제상관도판별기술，차감 BM 25 F모형적분역사상、기우향량공간모형，제출료대두주제상관도판별산법。재 Nutch 중인입IKAnalyzer 중문분사공구포，실현료대두주제상관도적판별。실험결과표명，해산법능구현저지제고대두주제망혈자원채집적준학솔。
Presently the amount of information is large and the accuracy is low when agricultural professional search en -gine is retrieving the specific subject agricultural information .In view of the situation , this article makes research and de-sign on the soybean subject webpage resources acquisition system based on the technological framework of Nutch , which is open-source search engine .Taking soybean information as the subject , it researches the technology of subject correla-tion judgment , references to the thought of BM 25 F model and puts forward the algorithm discriminating soybean subject correlation based on vector space model .It introduces the Chinese word segmentation ’ s toolkit of IKAnalyzer Based on the Nutch , and finally realizes the judgment of soybean subject correlation .The experimental results show that the algo-rithm can significantly improve the accuracy of acquainting soybean subject webpage resources .