基于信息属性的信息分发模型

Information distribution model based on information attribution

针对基于主题消息中间件系统队列插入效率不高、主题匹配精确性低的问题,对一种基于信息属性的信息分发模型进行研究。通过研究信息的属性,制定合理的优先级,采用基于优先级百分比的插入算法,提高消息入队的效率;依据信息属性对XML文档进行匹配,完成对订阅信息的匹配,提高订阅的精确性。实验结果表明,该模型能够提高信息分发效率与匹配精确性,解决了基于主题匹配模型的低效模糊问题。

To solve the problem of system inserting inefficiency and low precision on topics based on message oriented middleware,the study of information distribution model based on information of attribute was proposed.Through the study of attribute information,reasonable priority was formulated,and the insertion algorithm based on priority percentage was adopted,the efficiency of the news team was improved.According to the XML document matching on the basis of information attributes,matching of subscription information was completed and the accuracy of subscription was improved.The result shows the proposed model can improve the efficiency of information distribution and the accuracy of the matching,and the problem of inefficiency and fuzzy of the model based on topic was solved.