CAJ | 학술논문

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.
위료대면향호련망저일해량자원고중제공준학적、자동적、지능적발현제조자원복무,제출일투기우어의망적제조자원지능발현방법.해방법이제조자원본체여지식일체화건모위기출,통과취초파충종호련망중획취제조자원신식,형성어의표주실례;건립다층차지능발현검색모형,실현제조자원적정학검색、모호검색、어의검색이급지능추리공능.위직관표체사순어의결구여개념간적관련성,연제료도형화어의사순전단,병재차기출상개발병실현일투제조자원지능발현계통SWMRD.최후전시료계통실례.
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.