面向Web零件库的可拓关联搜索  

Adjustable relevance search in Web-based parts library

作　　者：顾复[1] 张树有[1] 

机构地区：[1]浙江大学流体传动及控制国家重点实验室,浙江杭州310027

出　　处：《计算机集成制造系统》2011年第4期688-694,共7页Computer Integrated Manufacturing Systems

基　　金：国家科技重大专项资助项目(2009ZX04014-031);浙江省自然科学基金资助项目(Z107416);教育部博士点基金资助项目(200803350031)~~

摘　　要：针对由于Web零件库信息量大、数据的异构性强而出现的问题,提出面向Web零件库的可拓关联搜索。用资源描述框架主题建立零部件信息资源的本体模型,并作为语义网络中的节点;通过语义关系将各节点连接成一个语义网络,进而实现扩展关联搜索。基于该语义网络模型,提出了可拓关联搜索的流程与算法。通过针对注塑机零部件的Web零件库编程实例,验证了可拓关联搜索在Web零件库中的可行性与实用性。To solve the data heterogeneity and information immensity problems in the web-based parts libraries,Adjustable Relevance Search（ARS） oriented to web-based parts library was put forward.Resource Description Framework Schema（RDFS） was used to construct ontology model for parts＇ information resources as nodes.Nodes were connected with each other by various semantic relationships to form semantic-Web so as to realize extended relevance search.Based on this semantic-Web model,the working process and algorithm of ARS were put forward and explained.The feasibility and practicality of ARS in Web-based parts library based on semantic-network was demonstrated by a simple programming example designed for injection molding machine.

关 键 词：语义网络 可拓关联搜索 WEB零件库 本体 产品设计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]