摘要
目的针对传统W eb信息检索模型的不足,提出一种基于语义的W eb信息检索模型。方法模糊相关技术、Ontology及W eb挖掘技术。结果建立了一种五元组的语义信息检索模型,并给出了该模型的关键实现算法。结论利用此模型实现的信息检索系统进行信息检索时具有更高的准确率和查全率。
Aim A improved model of Web information search based on semantics is presented in view of current Web information search model＇s disadvantages. Methods Fuzzy association technology and Ontology and Web mining technology is employed. Results Model of semantic information search based on five-element-array is built, and realization arithmetic is given. Conclusion The information search system utilizing the presented model is believed to have higher accurate ratio and recall ratio.
出处
《西北大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第1期21-24,共4页
Journal of Northwest University（Natural Science Edition）
基金
国家"863"计划基金资助项目(2001AA113182)
陕西省科技攻关计划基金资助项目(2002K06-G5)
