摘要
针对传统的搜索引擎关键词提取算法在实现检索时存在的局限性,在本体推理的基础上,运用基于Apriori算法的关联规则推理过滤,实现对无用词项的过滤和有用信息的提取。实验表明,基于关联规则的Apriori算法,在无用词项过滤和有用信息提取方面,与传统的搜索引擎关键词提取算法相比,具有较好的查全率和效率。
Because so many limitations exist in the traditional search engine keywords extraction algorithm at the time of the retrieval, based on ontology reasoning, using the association rule with the Apriori-algorithm, filtration of the useless terms and the extraction of useful information are realized.The experiments chow that the Apriori-algorithrn can improve information retrieval more accurately than that of the traditional search engine keywords extraction algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第9期134-136,145,共4页
Computer Engineering and Applications
