Answering queries using views: A KRDB perspective for the semantic Web
ACM Transactions on Internet Technology (TOIT)
Reasoning with Inconsistencies in Propositional Peer-to-Peer Inference Systems
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Distributed reasoning in a peer-to-peer setting: application to the semantic web
Journal of Artificial Intelligence Research
Scalability study of peer-to-peer consequence finding
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Dealing with P2P semantic heterogeneity through query expansion and interpretation
DaMaP '08 Proceedings of the 2008 international workshop on Data management in peer-to-peer systems
Query expansion and interpretation to go beyond semantic P2P interoperability
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
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In this invited talk, we present the SomeWhere approach and infrastructure for building semantic peer-to-peer data management systems based on simple personalized ontologies distributed at a large scale Somewhere is based on a simple class-based data model in which the data is a set of resource identifiers (e.g., URIs), the schemas are (simple) definitions of classes possibly constrained by inclusion, disjunction or equivalence statements, and mappings are inclusion, disjunction or equivalence statements between classes of different peer ontologies In this setting, query answering over peers can be done by distributed query rewriting, which can be equivalently reduced to distributed consequence finding in propositional logic It is done by using the message-passing distributed algorithm that we have implemented for consequence finding of a clause w.r.t a set of distributed propositional theories We summarize its main properties (soundness, completeness and termination), and we report experiments showing that it already scales up to a thousand of peers Finally, we mention ongoing work on extending the current data model to RDF(S) and on handling possible inconsistencies between the ontologies of different peers.