Agent-Community-based P2P Semantic Web Information Retrieval System Architecture Haibo Yu 1 , Tsunenori Mine 2 , and Makoto Amamiya 2 Department of Intelligent Systems, {Graduate School 1 , Faculty 2 } of Information Science and Electrical Engineering, Kyushu University 6-1 Kasuga-koen, Kasuga, Fukuoka 816-8580, JAPAN {yu, mine, amamiya}@al.is.kyushu-u.ac.jp Abstract. In this paper, we propose a conceptual architecture for a personal semantic Web information retrieval system. It incorporates se- mantic 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. 1 Introduction 1.1 Motivation With ever-increasing information overload, Web information retrieval systems are facing new challenges for helping people not only locating relevant informa- tion precisely but also accessing and aggregating a variety of information from different resources automatically. Currently, new technologies for enabling precise and automatic machine pro- cessing such as semantic Web and Web services are emerging and have attracted more and more attentions from academia and industry in recent years. The semantic Web is an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation [4]. Currently, there are a lot of researches such as [10] [9] [24] trying to apply semantic Web technologies to Web information retrieval systems, but they all address only problems concerning certain phases or certain aspects of the total complex issues involved. There isn’t any research addressing the semantic issues from the whole life cycle of information retrieval and architecture point of view. However, for the reasons we show below, we argue that it is important to clarify the requirements of a Web information retrieval system architecture to apply semantic web technology to it. First, we need to ensure the semantics are not lost sight of during the whole life cycle of information retrieval, includ- ing publishing, querying, accessing, processing, storing and reusing. Hence the interfaces involved in the whole life cycle of information retrieval tasks need to be re-considered. Second, efficient searching for high quality results is based on