摘要
提出了开发零件库中基于本体的智能搜索引擎的研究内容,设计了一种智能搜索引擎的系统架构.本体是克服由于零部件信息描述不一致引起的信息共享障碍的重要工具,为此建立了面向零件信息描述的4层描述本体模型,具体论述了该模型中的领域层、事件层、目录层和概念层的具体内容,设计了用以建立用户接口的六元智能查询模型和系统中的查询逻辑流程,并且详细论述了六元智能查询模型与4层本体模型间的映射方法.根据理论开发的系统在企业中的应用实例表明,4层本体模型能够较合理全面地描述零件信息,面向用户接口的六元智能查询模型较贴近自然语言,方便了用户的使用,因此按照该方法建立的基于本体的智能搜索引擎可以提高互联网零件库的使用效率.
Research about development of the intelligent search engine based on ontology in parts-library were proposed, and a system architecture of the search engine was designed. Ontology is one of the most useful tools to remove information-sharing obstacles caused by heterogeneous descriptions for parts information. A four-layered descriptive ontology model was set up to deal with general-parts information and the following layers were described in detail： domain layer, event layer, category layer and concept layer. A six-factor intelligent search model for erecting user interfaces and the search logical flow were established. Mapping between the four-layered descriptive ontology model and the six-factor intelligent search model was discussed. A system based on the above theory was developed. Application of the system in an enterprise showed that the four-layered descriptive ontology model is able to describe general-parts information rationally and roundly, and that the six-factor intelligent search model is comparatively similar to nature languages, so the intelligent search engine based on ontology in parts-library according to these methods can improve the efficiency of Web parts-library.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2007年第4期639-645,共7页
Journal of Zhejiang University：Engineering Science
基金
国家"863"高技术研究发展计划资助项目(2006AA04Z116)
国家自然科学基金资助项目(50575204)
高等学校博士学科点专项科研基金资助项目(20060335134)
关键词
零件库
本体
搜索引擎
WEB本体语言
parts-library
ontology
search engine
Web ontology language （OWL）
