Web document retrieval based on multi-agent

A mass of distributed and dynamic information on the Web has resulted in "information overload". With the flood of information, it has become an important research issue to search the Web based on traditional information retrieval technology. However, various systems and ambiguous terminology of information retrieval on the Web bring much trouble to users in application and researchers in development as well. This paper proposes the same interface of Web document retrieval to users, it is the model based on multi-agent. Each document in the documents base or from Web is represented as a vector in the vector space of classifiable sememes. The query from user is also represented as a vector. The relevance between them can be measured by using the cosine angle between the query and its k nearest neighbors in the vector space. Experiments have been done and their results shown that this scheme yields good results.