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With the rapid increase in the available information over the Internet, it is important to develop an efficient search and retrieval mechanism. In particular, the use of distributed search will be beneficial to many users. This paper presents two proposals to implement such an approach. The first one is based on an intelligent personal agent to assist in finding pages relevant to the behavior and characteristics of the user. Secondly, a distributed knowledge base situated across the network will lighten the query-processing loads. Distributed knowledge bases on separate issues located at different servers can be treated as integrated domain knowledge. The integrated knowledge is then used in an inference process at the main server. In this paper, the technical issues on the above model are addressed.