PARIS: A Peer-to-Peer Architecture for Large-Scale Semantic Data Integration

Abstract

We propose a novel peer-to-peer architecture, PARIS, aimed at exploiting the unprecedented amount of information available today on the Internet. In PARIS, the combination of decentralized semantic data integration with gossip-based (unstructured) overlay topology management and (structured) distributed hash tables provides the required level of flexibility, adaptability and scalability, and still allows to perform rich queries on a number of autonomous data sources. We describe the logical model that supports the architecture and show how its original topology is constructed. We also present the usage of the system in detail, in particular, the algorithms used to let new peers join the network and to execute queries on top of it.