• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (11): 100-103.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • 上一篇    下一篇

企业自演化动态本体表示策略的研究

张辉   

  1. (武汉船舶职业技术学院,湖北 武汉 430050)
  • 收稿日期:2010-07-13 修回日期:2010-09-21 出版日期:2010-11-25 发布日期:2010-11-25
  • 通讯作者: 张辉
  • 作者简介:张辉(1972),男,湖北随州人,副教授,CCF会员(E200013772M),研究方向为网络数据库、语义Web服务等。
  • 基金资助:
    湖北省教育厅科学技术研究基金资助项目(Q20085301,Q20106101)

Research of the SelfEvolution Dynamic Ontology

ZHANG Hui   

  1. (Wuhan Institute of Shipbuilding Technology,Wuhan 430050,China)
  • Received:2010-07-13 Revised:2010-09-21 Online:2010-11-25 Published:2010-11-25

摘要: 领域知识的非规范化组织严重阻碍了本体及知识库的共享,本体的主观性和知识的快速更新提出了本体演化需求,也就需要对领域知识本体的动态属性进行表示,建立动态本体,适应对本体及知识库共享的需求。本文以情景演算理论为基础,对活动动态本体进行了刻画;在分析企业活动之后构建了企业动态本体,并以构建企业生产管理的动态过程信息表示为例进行了实例描述;提出了本体自演化动态模型;给出了基于本体学习与冲突触发的本体自演化版本态迁移图,对本体演化过程中的版本进行管理,实现动态本体的自动复盘,最终建立实现企业职能的动态的共享本体模型。

关键词: 情景演算, 动态本体, 自演化, 版本态迁移

Abstract: The domain knowledge of the nonstandardization organizations has seriously hindered the ontology and knowledge sharing, and the ontology of subjectivity and the rapid updating of knowledge ontology evolution propose requirements and also need the dynamic field of ontology properties that create a dynamic body, to adapt to the needs of ontology and knowledge base to share. In this paper, the situation calculus theory, the dynamic ontology of activities are characterized in the analysis of the business activities of enterprises built after the dynamic ontology, in order to build the dynamic process of the production management information that describes an instance of the example of the proposed ontology from the speechbased dynamic model which is presented for ontologybased learning and selfidentity conflicts. The paper gives the evolution version of the state transition graph, for the version of the ontology evolution management, in order to realize dynamic ontology's eventual establishment of business functions to achieve a dynamically shared ontology model.

Key words: situation calculus;dynamic ontology;selfevolution;version of the state migration