基于约束逻辑的网络非集中式信息流整合系统设计

Design of network decentralized information flow integration system based on constraint logic

针对网络中存在大量非集中式信息流导致用户较难获取有用信息的问题,设计基于约束逻辑的网络非集中式信息流整合系统。该系统主要包括信息流采集层、信息流整合层、信息流应用层三部分,信息流采集层采集网络中大量非集中式信息流,信息流整合层将所采集信息通过约束逻辑规划方法利用序列约束、距离约束、析取约束、资源约束4种约束逻辑有效标引,完成标引的非集中式信息流通过非集中式信息流管理模型利用更新、查找、绑定以及调用4个步骤实现网络非集中式信息流整合,并将所整合的最终结果通过接口发送至信息流应用层用户界面。实验结果表明,采用该系统整合网络非集中式信息流整合准确率高达99%以上,且整合信息流完整性较高,内存占用较低。

Since there is a problem that a large number of decentralized information flows in the network make it difficult for users to obtain their useful information,a network decentralized information flow integration system based on constraint logic is designed.The system is mainly composed of an information flow collection layer,an information flow integration layer,and an information flow application layer.The information flow collection layer is used to collect a large number of the decentralized information flows in the network.The information flow integration layer is used to index the collected information by means of the constraint logic programming method according the four constraint logics of sequence constraint,distance constraint,disjunction constraint and resource constraint.The indexed decentralized information flow is used to complete network decentralized information flow integration by means of the decentralized information flow management model according to the four steps of updating,finding,binding and invoking.The integrated final result is sent to user interface of the information flow application layer through a connector.The experimental results show that the system′s integration accuracy of integrating the network decentralized information flow is over 99%,and the integrity of the integrated information flow is high,and the memory occupation rate is low.