基于图数据库的文献检索方法优化与实现
Design and Implementation of a Literature Retrieval System Based on Graph Database
-
摘要: 针对目前文献检索系统对于查询结果仅以文本形式呈现的问题, 提出了一个基于图数据库的文献信息检索系统.该采用图数据库Neo4j进行存储, 用户通过关键词查询, 系统以图节点的可视化形式将信息呈现给用户, 可以直观地了解文献的相关信息.实验结果表明, 该系统比关系基于数据库的系统更快, 执行的时间减少了71%(对于3-节点查询), 88%(对于4节点的查询), 以及99%的(5-节点查询).Abstract: For the current literature retrieval system for the results presented in the form of text only problem, a graph database based literature Information Retrieval System. The use graph database Neo4j storage, user query literature by keyword, the system visually in the form of graph nodes of information presented to the user can intuitively understand literature related information. Experimental results show that the system is faster than relational database system, the implementation time is reduced by 71% (for 3-node query), 88% (for 4-node queries), and 99% (for 5-node query).
下载:
