基于工作流和知识点驱动的知识推送研究  

Research on knowledge-push driven by workflow and knowledge points

作　　者：吴林健 苟秉宸[1] 汶晨光 

机构地区：[1]西北工业大学陕西省工业设计工程实验室,西安710072

出　　处：《计算机工程与应用》2018年第4期231-236,共6页Computer Engineering and Applications

基　　金：国家科技支撑计划项目(No.2015BAH21F01);西安市科技计划项目(No.FW1409);高等学校学科创新引智计划(No.B13044)

摘　　要：针对设计师的知识需求主动进行设计知识推送可有助于提高设计的效率,促进知识的应用与创新。为给具有不同知识背景的设计师进行更加精确动态的设计知识推送,提出了一种基于工作流和知识点双引擎驱动的知识推送机制。先由工作流节点任务信息与设计师知识需求进行知识点的一次推送,再以属性相似度算法为辅助衡量进行二次补充推荐,实现了设计师与设计知识的互补;最后以圣泓云平台搭载了该推送系统,并验证了其推送的可行性。Pushing knowledge actively in view of the designers' requirement is helpful to improve the efficiency of design and promote the application and innovation of knowledge. In order to provide more accurate and dynamic design knowledge for designers with different knowledge background, this paper presents a knowledge pushing system based on workflow and knowledge points. To achieve the complementation between designers and knowledge, the first knowledge push is decided by the task node information and designer's knowledge demand and the second recommendation is pushed as supplement based on attribute similarity algorithm. The knowledge pushing system is equipped on the Shenghong cloud platform, which verifies the feasibility of the push.

关 键 词：工作流驱动 知识属性相似度 知识推送 产品设计 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]