Title
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.
Year
DOI
Venue
2005
10.1007/978-3-540-71661-7_15
DBISP2P
Keywords
Field
DocType
overlay topology management,rich query,required level,original topology,large-scale semantic data integration,new peer,hash table,novel peer-to-peer architecture,decentralized semantic data integration,autonomous data source,logical model,distributed hash table
Adaptability,Data mining,Architecture,Computer science,Semantic data integration,Gossip,Logical data model,Hash table,The Internet,Distributed computing,Scalability
Conference
Volume
ISSN
Citations 
4125
0302-9743
3
PageRank 
References 
Authors
0.43
12
3
Name
Order
Citations
PageRank
Carmela Comito119327.10
Simon Patarin21239.36
Domenico Talia31837175.72