一种基于语义Web的信息检索模型研究  

Research of Information Retrieval Model Based on Semantic Web

作　　者：周超[1] 石爱萍[1] 杨帆[1] 

机构地区：[1]江苏科技大学计算机科学与工程学院,镇江212003

出　　处：《科学技术与工程》2010年第10期2511-2514,共4页Science Technology and Engineering

摘　　要：提出一种基于语义Web的信息检索模型,它能够实现准确高效的网络信息检索,克服传统信息检索的局限。介绍了语义Web、本体以及Lucene全文检索技术,详细阐述该模型的六大模块,其中在本体基础之上充分利用Jena查询和推理技术进行查询扩展,以及Lucene技术来建立索引和检索,改进排序算法使得返回结果更加满足用户需求。An information retrieval model is proposed based on semantic Web.Model can be able to implement the Web information retrieval accurately and effectively,and overcome the limitations of traditional information retrieval.The basic concept of semantic Web,ontology and the full text retrieval technology of Lucene are introduce,then described the details of the six modules of our model,in which use the Jena querying and reasoning technology for query expansion on the basic of ontology,and establish the index using the Lucene,and improved the sorting algorithm to meet the users＇ need.

关 键 词：语义WEB 本体 信息检索 LUCENE 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]