基于Solr和本体的地方志数据语义检索研究  

Semantic Search of Local Records Data Based on Solr and Ontology

作　　者：韩学仁[1] 王青山[1] 郭勇[1] 赵莹[1] 

机构地区：[1]信息工程大学,河南郑州450001

出　　处：《信息工程大学学报》2016年第1期48-52,共5页Journal of Information Engineering University

摘　　要：针对传统基于关键字匹配的检索方法在地方志数据查询时的不足,给出了基于Solr和本体的地方志数据语义检索解决方案。建立了地方志本体库;提出了基于本体的综合语义相似度进行语义查询扩展的方法;将本体技术与全文检索技术相结合,建立了基于Solr和本体的语义检索模型架构。最后设计实验,对数据库SQL查询方法和文章提出的语义检索方法的查全率、查准率和查询时间进行对比。实验表明,文章提出的方法明显优于基于关键字匹配的数据库SQL查询方法,具有可行性和有效性。Traditional Local Records data query based on keyword matching retrieval method has many drawbacks,so this paper presents Local Records data semantic search solutions based on Solr and Ontology. In this paper,local records ontology is established; semantic query expansion methods is proposed based on comprehensive ontology semantic similarity; combining ontology technology and full- text retrieval technology,a framework of semantic retrieval model based on Solr and Ontology is established. Finally,we design an experiment to compare the recall,precision and query time between the database SQL query method and the proposed method of semantic retrieval. Tests show that the proposed method excels database SQL query based on keyword matching method and is feasible and effective.

关 键 词：地方志 语义检索 全文检索 SOLR 本体 

分 类 号：P208[天文地球—地图制图学与地理信息工程]