Topic-oriented Multi-agent Search System

As the consistently growing capacity of network and the speeding-up update of information, it's more and more difficult for people to find out the wanted information quickly. Problems such as redundant information, mixed-up topic and so on affect the searching efficiency. During the process of dealing with the problems, a hot topic is take advantage of the topic oriented technology to improve information searching efficiency. This thesis from the aspect of topic oriented information searching area, studies how to take advantage of self, knowledge base and multi-Agent to improve the efficiency. Whatever information searching, it contains the process of user classifies the information based on his/her topic, thus how to meet the requirement of user's topic searching is the critical problem of information searching. Besides the normal technology and algorithm which improves the efficiency of search engine's accuracy and coverage, we can use other methods to approve this objective. This thesis introduces a method combined with self, knowledge base and multi-Agent to search information based on topic.Find out the topic which meets the user's searching purpose. During the process of topic oriented information searching, find out what's the proper topic is the critical problem. The topic mentioned in this thesis is the concept which from user's aspect and with the semantic identification capacity of information. It's just from the semantic understanding, that we consider take advantage of self and knowledge base to describe and classify topic. Search engine should not only understand user's topic, but also automatically identify the topic through self-study.Collect user's topics effectively and form knowledge base. Knowledge plays an important role when solving problems of topic oriented information searching. We justify a problem according to knowledge, and then separate the problem, and then multi- Agent system will execute and searching the organized result.Cooperative search and improve the efficiency of searching. To take better advantage of current search engine's searching capability and the web analysis capability; we use multi-Agent system to search simultaneously. A task is searched from different aspect, filtered out the redundant information, and the result is convenient for end users.The purpose of this thesis is to implement topic oriented information searching on mobile area. To achieve the goal we design a three-tier searching model for user searching word, topic analysis and cooperative search. Topic analysis depends on self knowledge base. To construct a proper and simple knowledge base suitable for this system, we us web classification related technology to set up a list of key words, and use these key words to form a simple mobile self. Multi-Agent used in this thesis is a small part of traditional one, because we just use it to implement a multi-Agent search engine for searching tasks and a summary without redundant information.