基于语义的个性化关联检索模型构建研究——以楚辞研究数据库的实现为例  

Study on Personalized and Related Retrieval Model Construction Based on Semantics:Taking Songs of Chu Research Database for Example

作　　者：涂中群[1] 端木艺[2] 

机构地区：[1]南通大学图书馆 [2]南通大学楚辞研究中心

出　　处：《图书情报工作》2013年第14期121-124,139,共5页Library and Information Service

基　　金：江苏省高校哲学社会科学重点研究基地重大项目"楚辞数字化处理与应用研究"(项目编号:2010JDXM037);国家社会科学基金项目"楚辞文献语义化研究"(项目编号:10BTQ031)研究成果之一

摘　　要：依据语义检索的特征和文本概念的挖掘,通过楚辞研究数据库的语义实践,提出一种以本体知识库建设为核心,由本体开发、资源管理、检索服务三层架构组成,融语义词典、知识地图、跨库查询和专题搜索为一体的个性化关联语义检索模型,力图使当前的语义检索研究跳出实验的框架,促进相关领域文献知识的组织开发与检索利用。This paper analyzes characteristics of semantic retrieval and mining of text concepts, and makes the semantic practice of Songs of Chu Research Database. Then it proposes a three - layer structure model of personalized and related semantic associative retrieval, which consists of ontology development, resource management and retrieval services and takes ontology repositories construction as core. This model integrates semantic dictionary, knowledge map, cross - database queries and project search as a whole, in order to get rid of the current restrictions of experiments and to promote the organizational development, retrieval and use of literature knowledge in related field.

关 键 词：语义检索 模型构建 个性关联 文本挖掘 本体 楚辞 

分 类 号：G250.74[文化科学—图书馆学]