CAJ | 학술논문

　　详细阐述了主题网络爬虫实现的关键技术，将传统的空间向量模型进行改进形成自适应的空间向量模型，结合网页内容和链接两个方面进行网页相关度计算，设计并实现了一个面向主题的网络爬虫系统。针对主题网络爬虫爬行中出现的页面捕捉不全问题还提出了一种改进的手动与遗传因子相结合的网页搜索策略。最后给出实验结果，证明该系统的可行性及优越性。
　　상세천술료주제망락파충실현적관건기술，장전통적공간향량모형진행개진형성자괄응적공간향량모형，결합망혈내용화련접량개방면진행망혈상관도계산，설계병실현료일개면향주제적망락파충계통。침대주제망락파충파행중출현적혈면포착불전문제환제출료일충개진적수동여유전인자상결합적망혈수색책략。최후급출실험결과，증명해계통적가행성급우월성。
This paper researched key techniques of topic-focused web crawler at first, then designed and implemented a crawler system by using improved slef-adapted vector space model. It analysised documents both in text and links. As the same time, this paper also comed up with a web search stategy based on gene factor combined with manully control. This strategy can solve the problem of searching path blocked. In the end, we provide some experiment results to prove the feasibility and advantages of our system from recall ratio and precision ratio.