计算机工程2017，Vol.43Issue(3)：18-23,31,7.DOI:10.3969/j.issn.1000-3428.2017.03.004
基于信息网模型的Web实体语义信息搜索平台
Search Platform for Web Entity Semantic InformationBased on Information Network Model
摘要
Abstract
The information of Web entity is scattered in different places and lack of semantics.Traditional search engines based on keyword matching cannot get accurate results for lacking of context information.To get accurate information on the Web,Information Networking Model(INM) is used to directly describe relationships between entities in the real world,and to represent and model the semantic information of Web data.The semantic information about one entity is organized into an object,which makes it more quickly to acquire complete entity information.Based on the semantic database generated with INM,a semantic information search system named TLDW is built,which can be used to search semantic information of entities in the education domain.Experimental results show that first task searching time is less than 100 ms,and search results contain rich entity semantic information like context relationship.On the basis of the cache optimization,searching task can be finished within 20 ms.关键词
语义表示和建模/信息网模型/语义关系/推理规则/INM查询语言/语义信息搜索Key words
semantic representation and modeling/Information Network Model (INM)/semantic relationship/inference rule/INM Query Language (IQL)/semantic information searching分类
信息技术与安全科学引用本文复制引用
夏翠翠,刘梦赤,胡婕..基于信息网模型的Web实体语义信息搜索平台[J].计算机工程,2017,43(3):18-23,31,7.基金项目
国家自然科学基金(61202100) （61202100）
软件工程国家重点实验室开放基金(SKLSE2012-09-20). （SKLSE2012-09-20）
