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基于本体的国史知识检索平台构建研究
引用本文:王颖,张智雄,孙辉,雷枫.基于本体的国史知识检索平台构建研究[J].图书情报工作,2015,59(16):119-128.
作者姓名:王颖  张智雄  孙辉  雷枫
作者单位:1. 中国科学院文献情报中心 北京 100190;2. 当代中国研究所 北京 100009
基金项目:本文系中国社会科学院哲学社会科学创新工程信息化项目“中华人民共和国史教育网”(项目编号:横1312)研究成果之一。
摘    要:目的/意义]构建国史知识检索平台,提高用户获取国史知识的效率,促进国史宣传和教育。方法/过程]提出基于本体的国史知识检索平台构建思路与总体框架,在构建国史本体知识库的基础上,采用Neo4j数据库作为RDF数据仓储,创建基于Solr的实例索引、三元组索引和词条索引,针对多种检索需求设计实现检索引擎的执行流程、检索式构造方法以及查询处理算法,并为国史知识展示设计可视化实现方式。结果/结论]构建国史知识检索平台,提供实体检索、查询问答、关联检索、时序检索及语义资源浏览等检索与浏览服务。该平台框架及关键技术实现方案可为面向领域知识的深度检索服务提供重要参考。

关 键 词:本体  实体检索  查询问答  关联检索  可视化  
收稿时间:2015-07-29

Construction of Knowledge Retrieval Platform Based on Historic Ontology of the People's Republic of China
Wang Ying,Zhang Zhixiong,Sun Hui,Lei Feng.Construction of Knowledge Retrieval Platform Based on Historic Ontology of the People's Republic of China[J].Library and Information Service,2015,59(16):119-128.
Authors:Wang Ying  Zhang Zhixiong  Sun Hui  Lei Feng
Institution:1. National Science Library, Chinese Academy of Sciences, Beijing 100190;2. The Institute of Contemporary China Studies, Beijing 100009
Abstract:Purpose/significance]This paper aims to build a historic knowledge retrieval platform, improve the efficiency access for users to history of the People's Republic of China, and promote its publicity and education.Method/process]It proposes the construction idea and framework of the knowledge retrieval platform based on historic ontology of the People's Republic of China.Based on the ontology knowledge base, this platform uses Neo4j database as data storage, creates three index based on Solr, including instance index, triple index and text item index.For various retrieval demands, the execution process of retrieval engine, construction method of retrieval expression, query processing algorithm and knowledge visualization are designed and implemented.Result/conclusion]The knowledge retrieval platform has been constructed, which provides entity search, query answering, relevance search, temporal retrieval and semantic resources browsing services.Its framework and implement of key technologies can provide an important reference for depth retrieval service on other domain knowledge.
Keywords:ontology  entity search  question answering  relevance search  visualization  
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