利用tableau方法修正DeepWeb中不相容知识

Using Tableau to Repair the Incomplete Knowledge of Deep Web

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。

According to the real situation that there exists a great deal of incomplete knowledge in Deep Web searching, IK-tableau model generation method based sented. The model adopts non-classical logical method, on the incomplete knowledge processing of tableau is presexpresses 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