基于本体的旱区农业垂直搜索引擎研究

Research on Ontology-based Arid Areas Agriculture Search Engine

针对西北旱区农业发展落后、农业科技推广受限、农业信息检索准确度差等问题,在分析研究通用搜索引擎工作原理的基础上,设计并实现了基于本体的旱区农业垂直搜索引擎模型。采用面向文本的知识发现技术构建农业领域本体,实现基于本体的网络信息采集及过滤、查询扩展、结果排序和相关词推荐。试验证明,基于本体的旱区农业垂直搜索引擎可以提高农业信息检索的查准率,优化检索结果。

To solve the problems of low coverage of agricultural field and the poor accuracy of apicultural information retrieval of general search engine,this paper designed and implemented a agricultural information vertical search engine model based on ontology on the foundation of researching the principle of current search engines.Realized the collection and filtration of network information,also query expansion,result sorting and related words recommending on the basis of ontology.Experiments showed that,the agricultural information vertical search engine based on ontology can improve and optimized the accuracy of search result.