计算机科学与探索 ›› 2009, Vol. 3 ›› Issue (1): 60-67.DOI: 10.3778/j.issn.1673-9418.2009.01.006

• 学术研究 • 上一篇    下一篇

利用tableau方法修正Deep Web中不相容知识

刘 全1,2+,崔志明1,高 阳2,伏玉琛1,凌兴宏1   

  1. 1. 苏州大学 计算机科学与技术学院,江苏 苏州 215006
    2. 南京大学 软件新技术国家重点实验室,南京 210093
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-01-20 发布日期:2009-01-20
  • 通讯作者: 刘 全

Using tableau to repair the incomplete knowledge of Deep Web

LIU Quan1,2+, CUI Zhiming1, GAO Yang2, FU Yuchen1, LING Xinghong1   

  1. 1. College of Computer Science and Technology,Soochow University, Suzhou, Jiangsu 215006, China
    2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-01-20 Published:2009-01-20
  • Contact: LIU Quan

摘要: 在分析Deep Web中不相容知识的单调性、动态性、模糊性的基础上,提出了基于tableau的不完备知识处理的模型生成方法IK-tableau。该模型采用非经典逻辑表示方法,将Deep Web信息表示为逻辑公式集合,采用模型生成算子对逻辑公式进行扩展。通过IK-tableau方法,能够找出Deep Web搜索中的不完备知识,并可以进行修正,生成知识模型;同时利用该模型可以进一步指导Deep Web搜索。

关键词: Deep Web, IK-tableau, 不完备知识, 逻辑模型

Abstract: According to the real situation that there exists a great deal of incomplete knowledge in Deep Web searching, IK-tableau model generation method based on the incomplete knowledge processing of tableau is presented. The model adopts non-classical logical method, expresses the Deep Web information as logical formula set and expands it by model generation operator. By using IK-tableau, incomplete knowledge in Deep Web searching can be found out and be repaired to generate knowledge model. In the meantime, Deep Web searching can be further guided.

Key words: Deep Web, IK-tableau, incomplete knowledge, logical model