【作者】 朱利君； 张友华； 李绍稳； 辜丽川； 程波波；

【Author】 Zhu Lijun, Zhang Youhua, Li Shaowen, Gu Lichuan, Cheng Bobo (School of Information Science and Technology, Anhui Agricultural University, Hefei, 230036)

【机构】 安徽农业大学信息与计算机学院；

【摘要】 目前信息检索正在向着领域化、智能化方向发展。本文通过构建茶虫害领域本体,设计并实现了基于茶虫害本体的智能检索系统。该系统在特定主题的限定下进行信息的搜集和检索,能识别所搜索的网页与主题是否相关,而且能产生智能导航链接在主题最相关的范围内搜索,把信息检索从目前基于关键词层面提升到基于知识的层面,能够帮助用户更容易找到感兴趣的信息,提高信息检索的准确率。更多还原

【Abstract】 At present information retrieval is developing to the direction of domain and intelligence. With the construction of the tea pest domain ontology, an intelligent retrieval system is setup based on the ontology, which can collect and retrieve information with a limited subject, and can give the relationship between the collected website and the subject, and the link of intelligent navigation can be produced to retrieve information under the scope of the most relevant subject. It upgrades the information retrieval from the level of更多还原