摘要
为了正确地理解网络资源概念,精确分析网络信息查询,提出一种基于激活扩散算法的语义搜索方法来提升网络搜索效率。该方法根据网络资源本体中的资源及资源间联系计算其自信息量,然后根据自信息重新扩展了传统的语义搜索和排位方法,从而得到一种新的语义搜索和排位方法。实验结果表明,该方法相比较传统方法,有效的提高了搜索效率。
In order to understand the concept of web resources correctly and analyze web information query precisely,this paper proposes a semantic searching method based on extended spreading activation algorithm to improve the efficiency of Web search.It calculates the self-information content by resources and their relationships in web resource ontology,the traditional semantic searching and ranking method is extended on the basis of the self-information content,then a new web searching and ranking method is proposed.Finally,experiment shows that this method,compared with traditional methods,improves the efficiency of searching.
出处
《太原理工大学学报》
CAS
北大核心
2017年第2期206-213,共8页
Journal of Taiyuan University of Technology
关键词
自信息
语义搜索方法
激活扩散算法
网络搜索
self-information
semantic searching method
spreading activation algorithm
web search
