基于Agent的Internet信息检索

Agent-Based Information-Retrieving From Internet

Internet上有很多搜索引擎用于帮助人们发现和收集Internet上的各种信息 ,但它们还存在着一些缺陷 ,如信息导引能力差 ;信息的精确度不高 ;一般不具备学习功能。该文提出一种用于信息检索的Multi-Agent系统 ,从Internet上发现和收集信息。采用Multi-Agent体系结构 ,该系统能够根据用户的需要和任务模型主动、智能和协作地从Internet上各种信息资源(如数据库 ,WWW服务器等 )发现和收集信息 ,并对搜集到的信息进行管理和维护。该文主要针对多主体的协作性、互操作性和运行环境 ,讨论Internet信息收集的解决方案。

There are many search engines that can help people to discover and gather information from Internet. But these engines have some shortcomings, such as unefficiency in information guiding; imprecision in information retrieving; incapability in learning. This paper brings forward a multi-agent system for gathering information from Internet. By adopting the multi-agent architecture, according to the user's need and the task model, this system intelligently, autonomously, and collaboratively retrieves, filters, and fuses various information sources (i.e, database, WWW server, etc.) on the Internet, and maintains and manages the information discovered and gathered on Internet. Here discussed is the way of solution used for the collaboration, interoperability, and executing environment.