基于共现分析的语义信息检索研究

摘要

In order to improve user experience of information retrieval system, researchers always explore into query optimization algorithms, visualization and other aspects. This paper used literature review, co-occurrence analysis, ontology building and other methods to design a model and process of semantic information retrieval based on co-occurrence analy- sis. 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 eoneen- trates 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 mod- el is divided into three parts: Normallzer, 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, semantie information retrieval based on co-occurrence analysis is more user-friendly and instructive 19 refs. 7 figs. 1 tab%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人手。本文利用文献调研、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。