Abstract
Peer-to-peer (P2P) computing has gained great attention in both research and industrial communities. Although many P2P systems, such as CAN, Pastry, Chord, and Tapstry have been proposed, they only support exact-match lookups. To overcome the limitation, a new area of P2P research, called peer data management system (PDMS), has emerged. In PDMS, metadata were used for annotating resources to support complex queries. This paper proposed a hybrid PDMS called RDF-Chord. In RDF-Chord, a set of keys is ingeniously designed to significantly reduce the search spaces. In experiments, it shows that RDF-Chord is highly scalable and efficient, especially in range queries.
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