空间网络数据库中关键信息自动查询仿真  

Simulation of Automatic Query of Key Information in Spatial Network Database

作　　者：徐勇[1] XU Yong(Guangxi University for Nationaities,Xiangsihu College,Guangxi,Nanning,530000,China)

机构地区：[1]广西民族大学相思湖学院,广西南宁530000

出　　处：《计算机仿真》2018年第12期421-424,共4页Computer Simulation

摘　　要：对数据库信息的查询,对提高数据库中信息查询效率方面具有重要意义。在对网络数据库中关键信息进行查询时,需对关键信息的识别结果和查询处理效率进行分析,传统方法主要根据网络数据库中的信息特征向量进行查询,忽略了信息类别的影响,导致关键信息识别结果准确率低、效率差的问题。为解决上述问题,提出基于PCRK算法的数据库关键信息自动查询方法。对关键信息的特征向量进行概率计算,将计算结果代入到数据库中,利用数据库中关键信息的能量函数和归一化因子定义,获得关键信息的均值向量和方差,建立信息邻域坐标调整数据库中关键信息类别,分析数据库中四种关键信息语义之间的关系,利用ELCA信息候选集获得数据库中关键信息的匹配函数,获得数据库文档排序结果,查询出满足语义的关键信息,实现空间网络数据库中关键信息的自动查询。仿真结果表明,提出方法提高了空间网络数据库中关键信息自动查询的准确率和效率。Traditional method mainly ignores the influence of information category,which leads to the low accuracy and poor efficiency of identification result of key information.This-article proposes a method of automatic inquiry for database key information based on PCRK algorithm.First of all,the probability of key information feature vector was calculated,and then the result was substituted into the database.Secondly,the energy function of key information in the database and the definition of normalization factor were used to obtain the mean vector and variance of key information.Thirdly,the information neighborhood coordinate was built to adjust key information category in data- base.Moreover,the relationship among four key information semantics in the database was analyzed and ELCA information candidate set was used to obtain the matching function of key information in database.Meanwhile,the document sorting result was obtained.Finally,the key information that met the semantics was found.Thus,the automatic query of key information in spatial network database was achieved.Simulation results prove that the proposed method improves the accuracy and efficiency of automatic query of key information in spatial network database.

关 键 词：空间 网络数据库 关键信息 自动查询 

分 类 号：TP311.131[自动化与计算机技术—计算机软件与理论]