<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>7359</REFNUM><AUTHORS><AUTHOR>Klampanos,I.A.</AUTHOR><AUTHOR>Jose,J.M.</AUTHOR></AUTHORS><YEAR>2004</YEAR><TITLE>An Architecture for Information Retrieval Over Semi-Collaborating Peer-to-Peer Networks</TITLE><PLACE_PUBLISHED>ACM Symposium on Applied Computing, Nicosia, Cyprus </PLACE_PUBLISHED><PUBLISHER>ACM Press</PUBLISHER><PAGES>1078-1083</PAGES><ISBN>1-58113-812-1</ISBN><LABEL>Klampanos:2004:7359</LABEL><ABSTRACT>Peer-to-Peer (P2P) networking is aimed at exploiting the potential of widely distributed information pools and its effortless access and retrieval irrespectively of underlying networking protocols, operating systems or devices. However, prohibiting limitations have been identified and perhaps the most important one is the successful location of relevant information sources and the efficient query routing in large, highly distributed P2P networks. In this paper, a novel, cluster-based architecture for IR over P2P networks is presented and its evaluation is focused on retrieval effectiveness. We reason in favour of using clustering for P2P IR, by considering two fundamental hypotheses drawn from current P2P file-sharing systems. We also study the potential usefulness of a simplified version of Dempster-Shafer (D-S) theory of evidence combination for results fusion in the network. We simulated the IR behaviour of the system by using the TREC 6 and 7 ad-hoc track. The proposed architecture bears very promising results in terms of precision and recall. </ABSTRACT></RECORD></RECORDS></XML>