太原理工大学学报2017，Vol.48Issue(2)：206-213,8.DOI:10.16355/j.cnki.issn1007-9432tyut.2017.02.012
基于网络资源本体的语义搜索和排位方法
Semantic Search and Ranking Methods Based on Web Resource Ontology
李钢 1段富 1张扬1
作者信息
- 1. 太原理工大学计算机科学与技术学院,太原030024
- 折叠
摘要
Abstract
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.关键词
自信息/语义搜索方法/激活扩散算法/网络搜索Key words
self-information/semantic searching method/spreading activation algorithm/web search分类
信息技术与安全科学引用本文复制引用
李钢,段富,张扬..基于网络资源本体的语义搜索和排位方法[J].太原理工大学学报,2017,48(2):206-213,8.
