信息捕捉器的智能机制

An Intelligent Mechanism for Information Capture

目的研究与讨论万维网信息捕捉智能机制．方法采用算法模型建立捕捉器概念模式，并采用知识推理及文本聚类技术对捕捉结果进行规则分类．结果设计了基于知识体系的智能机制框架，分析了捕捉器的自适应问题并给出了解决途径．结论引入智能机制的捕捉器，可满足用户对实际概念下的文本内容的需求，而不是字面意义下的所有文本．智能信息捕捉器将以独特的主动性和自适应能力，成为万维网上有实力的信息检索工具．

Aim To discusses an intelligent mechanism for information capture over the World Wide Web.Methods The conceptual schema of capture is set up by using algorithmic models and the captured information are classified by adopting knowledge reasoning and text clustering techniques.Results Architecture of the intelligent mechanism is designed and set up on a knowledge based system.The paper analyzes the self adaptation problem in the process of capture and gives its approaches.Conclusion Information capture with an intelligent mechanism can meet the user′s requirements about text contents taken as a practical concept,but not all texts under its literal meaning.Information capture with an intelligent mechanism will be a powerful tool of information refrieval in the World Wide Web because of its distinctive automaticity and self adapting features.