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基于语义特征项列表的工艺知识推送技术研究
Research on process knowledge push based on semantic feature list
【摘要】 针对工艺人员在机械产品制造工艺设计过程中通过现有信息检索方式难以准确得到相关知识的问题,分析现有机械产品设计制造相关知识推送研究的优点与不足,将个性化推送技术及基于领域本体的语义检索技术融入知识推送过程中,提出了基于语义特征项列表的工艺知识推送方法,实现了在工艺知识推送过程中对工艺知识的个性化语义检索,提高了工艺人员在工艺设计过程中获取相关知识的效率。首先,提出了主要包含知识需求个性化扩展、知识检索匹配及预推送知识个性化过滤的工艺知识推送模式;其次,构建了满足工艺知识推送需求的工艺知识、工艺人员、工艺设计任务及工艺知识应用案例模型,详细介绍了语义特征项列表的生成过程;然后,设计了以语义特征项列表为核心的工艺知识推送相关算法;最后,通过实例验证了相关算法的有效性,并面向某机械产品制造企业的实际应用需求开发了支持推送的机械产品制造工艺知识管理系统。
【Abstract】 Aiming at the problems for acquiring process knowledge accurately in manufacturing process designs of mechanical products using existing information retrieval method,the state of art on knowledge push research for mechanical products design and manufacturing was discussed,and the process knowledge push approach based on semantic feature list was proposed by integrating personalized push technology and domain ontology-based semantic retrieval technology into knowledge push,which enable the personalized semantic retrieval for process knowledge during knowledge push. Firstly,the specific process knowledge push mode that mainly includes personalized extensions of knowledge demand,knowledge retrieval and knowledge personalized filtering was given. Secondly,the models of process knowledge,process engineer,process design task and process knowledge application case were presented. The generation process of the semantic feature list was introduced in detail. Then,the algorithms of process knowledge push based on semantic feature list were studied. Finally,experiments were carried out to demonstrate the effectiveness of the proposed algorithms and a Manufacturing Process Knowledge Management System Supporting Push( MPKMSP) that could support mechanical manufacturing process knowledge push was developed to meet the application demand of an mechanical products manufacturing enterprise.
【Key words】 process knowledge; knowledge push; domain ontology; semantic feature list; personalized feature;
- 【文献出处】 现代制造工程 ,Modern Manufacturing Engineering , 编辑部邮箱 ,2016年09期
- 【分类号】TH162
- 【被引频次】5
- 【下载频次】244