• 论文 •    

面向语义模型网络的企业信息检索方法研究

赵寒, 张树生, 王明微, 周竞涛, 荣芳伟, 路石磊   

  1. 西北工业大学 现代设计与集成制造技术教育部重点实验室, 陕西西安710072
  • 出版日期:2008-05-15 发布日期:2008-05-25

Enterprise information query for semantic model network

ZHAO Han, ZHANG Shu-sheng, WANG Ming-wei, ZHOU Jing-tao, RONG Fang-wei, LU Shi-lei   

  1. Ministry of Education Key Lab of Contemporary Design & Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an 710072, China
  • Online:2008-05-15 Published:2008-05-25

摘要: 面向以语义模型为核心的企业信息集成互联网络,针对信息检索的需求和特点,提出分类检索思想和分布式逐步加载推理方法相融合的语义检索机制。在推理机分布式部署的基础上,通过提出邻接依赖计算算法,判断网络中与检索相关的区域,并将相关区域逐步加载到相应的推理机上,以完成检索任务,实现检索的逐步依赖加载。该方法充分利用语义模型的领域集中控制性和可推理性,使企业的信息集成访问需求在敏捷性和获取信息的语义完整性、一致性之间达成平衡。

关键词: 语义模型, 分类检索, 分布式逐步加载推理, 信息检索

Abstract: Aiming at the characteristics of semantic model network based interconnected environment, a Classified Query (CQ) and Gradually Distributed Dependency Inference (GDDI) mechanism was presented for the enterprise information query. Based on the reasoner distributed deployment, the GDDI process gradually loaded and reasoned the parts of the semantic model network that were relevant to the query by means of the adjacent dependency computing algorithm. This approach took advantage of the characteristics of domain controller and reasoner of semantic model to obtain enterprise information effectively and quickly, and balance the semantic consistency and integrity.

Key words: semantic model, classified query, gradually distributed dependency inference, information query

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