摘要
为了对面向互联网这一海量资源库中提供准确的、自动的、智能的发现制造资源服务,提出一套基于语义网的制造资源智能发现方法.该方法以制造资源本体与知识一体化建模为基础,通过聚焦爬虫从互联网中获取制造资源信息,形成语义标注实例;建立多层次智能发现检索模型,实现制造资源的精确检索、模糊检索、语义检索以及智能推理功能.为直观表达查询语义结构与概念间的关联性,研制了图形化语义查询前端,并在此基础上开发并实现一套制造资源智能发现系统SWMRD.最后展示了系统实例.
To improve the quality of discovery service of manufacturing resource in the Internet, a new intelligent discovery method based on semantic web is presented. Manufacturing resource ontology and knowledge modeling are the basis of this method. The resources are obtained from the target sites in the Internet by using focused spider technology, and then the semantic instances are built with ontology-based annotation to convert the resources into machine understandable knowledge. An intelligent multi-level retrieval model is devised to realize the intelligent discovery of manufacturing resources, with integrated capabilities of accurate search, fuzzy search, semantic search and automated reasoning. To clearly express the semantic layer and relationship between concepts, the graph-based semantic retrieval browser technology is discussed. A prototype system SWMRD is presented, along with the case study to demonstrate the practicality of the developed system.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2009年第12期1821-1831,共11页
Journal of Computer-Aided Design & Computer Graphics
基金
浙江省科技计划项目(2006C21027)
浙江省自然科学基金(Y104435)
教育部博士点基金(200803351129)
航天支撑技术基金(08-3.4)
武器装备预研基金
关键词
制造资源
语义网
智能发现
互联网
manufacturing resource
semantic web
intelligent discovery
Internet
