邱均平,楼雯.基于共现分析的语义信息检索研究[J].中国图书馆学报,2012,38(6):89~99
Semantic Information Retrieval Research Based on Co-occurrence Analysis
基于共现分析的语义信息检索研究
  
DOI:
Key words:Semantic information retrieval,Ontology,Co-occurence analysis,Author keyword coupling analysis
中文关键词:  语义信息检索,本体,共现分析,作者关键词耦合
基金项目:本文系国家社科基金重大项目“基于语义的馆藏资源深度聚合与可视化展示研究”(批准号:11&ZD152) 的研究成果之一。
Author NameAffiliation
Qiu Junping 武汉大学信息管理学院 武汉 430072 
Lou Wen 武汉大学信息管理学院 武汉 430072 
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Abstract:
In order to improve user experience of information retrieval system, researchers always explore into queryoptimization algorithms, visualization and other aspects. This paper used literature review, co-occurrence analysis, ontologybuilding and other methods to design a model and process of semantic information retrieval based on co-occurrence analysis. And the paper selected the world’s archaeological category data from Wuhan University Library’s bibliographic retrieval systems to experimental analysis. Literature review summarized that semantic information retrieval research mainly concentrates in the ontology-based query techniques, semantic annotation and semantic relation retrieval. And most recent system can only realize obvious relations retrieval. This paper constructed a model to realize potential relations retrieval. The model is divided into three parts: Normalizer, Analyzer and Ontology builder. Analyzer is the model core. Experimental analysis proved the feasibility of co-occurrence analysis used in semantic information retrieval. Compared with traditional retrieval, semantic information retrieval based on co-occurrence analysis is more user-friendly and instructive. 7 figs. 1 tab. 19 refs.
中文摘要:
      提高信息检索系统的用户体验度可以从查询优化的算法和增强可视化展示的研究等方面入手。本文利用文献要调研、共现分析和构建本体等方法,设计基于共现分析的语义信息检索和流程,并利用武汉大学图书馆的书目检索系统中“世界考古”类目的数据进行实验分析。经过文献调研发现,目前语义信息检索主要集中在基于本体的查询技术、语义标注问题和语义关系检索等方面的研究,语义信息检索目前只能做到表层相关的检索。构建的基于共现分析的语义信息检索模型包括规范器、分析器和本体构建器三个部分,其中分析器是本模型的核心。经过实验分析发现共现分析可以应用于语义信息检索,并比较得出基于共现分析的语义检索比传统检索更具人性化、引导性。图7。表1。参考文献19。
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