Development of Multi-Agent-based Intelligent Information Retrieval System

在本研究中，我们首次提出了基于代理社区的对等信息检索(ACP2P)方法，并进行了各种实验。ACP2P方法使用代理社区来管理和查找用户感兴趣的信息。代理作为其用户的代理工作，通过与其他代理通信来搜索用户需要的信息。代理之间的通信是在对等计算体系结构中进行的。检索与用户查询相关的信息是利用内容文件执行的，该内容文件包括原始和检索的文档以及两个历史：查询/检索的文档历史和查询/发送者代理历史。利用历史记录产生协同过滤效应，逐渐形成虚拟代理社区，具有相同兴趣的代理聚集在一起。我们的假设是，虚拟代理社区减少了执行搜索所需的通信负载。随着代理收到的查询越多，则m…获得了更多指向新知识的ORE链接。其次，我们提出了一个个性化语义网信息检索系统的概念架构。它融合了语义网、Web服务、P2P和多代理技术，不仅能够实现Web资源的精确定位，而且能够自动或半自动地集成通过Web内容和Web服务提供的Web资源。在该体系结构中，统一考虑了涉及信息检索全生命周期的语义问题，实现了Web内容和Web服务的无缝集成。该体系结构由三个主要组件组成：使用者、提供者和中介者。所有提供者和消费者都被构建为语义“My门户”，它提供了一个通往与用户相关的所有信息的门户。每个提供者在我们所称的WSCD(网站功能描述)中描述其功能，并且当需要进行Web搜索时，每个使用者将根据用户需求提交相关查询。中介由分配给消费者和提供者的代理组成，使用基于代理社区的P2P信息检索(ACP2P)方法来实现语义MyPortals之间的信息共享。初步的实验结果表明了ACP2P方法的有效性和两个查询/响应历史在寻找新的信息源和减少通信负载方面的有效性，最后提出了支持用户Web浏览活动的主动浏览系统。该系统观察用户的Web浏览行为，学习他/她的方式或偏好，并试图通过推荐来省去他/她访问他/她想要的页面的工作量。系统不仅推荐用户过去浏览过的页面，还通过协作过滤技术收集其他用户的页面，推荐用户感兴趣的新页面。该系统基于多智能体KoDama框架实现。一些初步的实验结果证明了该方法的有效性。较少

In this research, we first proposed the agent-community-based peer-to-peer information retrieval (ACP2P) method and carried out various experiments. The ACP2P method uses agent communities to manage and look up information of interest to users. An agent works as a delegate of its user and searches for information that the user wants by communicating with other agents. The communication between agents is carried out in a peer-to-peer computing architecture. Retrieving information relevant to a user query is performed with content files which consist of original and retrieved documents, and two histories : a query/retrieved document history and a query/sender agent history. Making use of the histories have a collaborative filtering effect, which gradually creates virtual agent communities, where agents with the same interests stay together. Our hypothesis is that a virtual agent community reduces communication loads necessary to perform a search. As an agent receives more queries, then m … More ore links to new knowledge are acquired. From this behavior, a "give and take"(or positive feedback) effect for agents seems to emerge.Secondly, we proposed a conceptual architecture for a personal semantic Web information retrieval system. It incorporates semantic Web, Web service, P2P and multi-agent technologies to enable not only precise location of Web resources but also the automatic or semi-automatic integration of Web resources delivered through Web contents and Web services. In this architecture, the semantic issues concerning the whole lifecycle of information retrieval were considered consistently and the integration of Web contents and Web services is enabled seamlessly. The architecture consists of three main components : consumer, provider and mediator. All providers and consumers are constructed as semantic "MyPortal" which provides a gateway to all the information relevant to a user. Each provider describes its capabilities in what we call a WSCD (Web site capability description), and each consumer will submit relevant queries based on user requirements when a Web search is necessary. The mediator is composed of agents assigned to the consumer and providers using an Agent-Community-based P2P information retrieval (ACP2P) method to fulfill the information sharing among semantic MyPortals. Some of preliminary experimental results showed the efficiency of the ACP2P method and the usefulness of two query/response histories for looking up new information sources and for reducing communication loads.Lastly, we proposed the Active Browsing system which supports user's Web browsing activity. The system observes user's Web browsing behaviors, learns his/her ways or preferences and tries to save his/her labor for reaching the pages he/she wants by recommending them. The system recommends not only the pages the user browsed in the past, but also the pages which are new and interesting to him/her by collecting from other users with a collaborative-filtering technique. The system is implemented based on Multi-Agent KODAMA framework. Some of preliminary experimental results illustrated the validity of our approach. Less