Agent-Community-Based P2P Semantic Web Information Retrieval System Architecture

In this paper, we propose 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 fullfill the information sharing among semantic MyPortals. Some preliminary experimental results are presented to show 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.

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