摘要
介绍了一种基于Agent的智能化专业信息采集系统。普通的专业搜索引擎使用先采集然后过滤的方法得到专业数据,对资源造成了浪费。提出了一种在原有的已经实现的化工专业搜索引擎系统的基础上,运用分布式Agent技术、人工智能理论对系统的信息搜集子系统和数据分析子系统部分进行改造的框架。系统在运行中能够不断学习网络中专业知识的分布状况,从而提高专业信息采集工作效率。
An agent-based intelligence collection professional information system was introduced. Some common systems collected professional information by the way that filtering data after collecting them, which wasted resource. Based on the search engine for chemical subject to have been realized now, a new frame was brought forward which applied the distributed agent-based technology and the artificial intelligence theory to reform the collecting information sub-system and the analyzing data sub-system in order to improve efficiency of collecting professional information.
出处
《计算机工程与设计》
CSCD
北大核心
2005年第11期3028-3030,3036,共4页
Computer Engineering and Design
