Superviews: Virtual Integration of Multiple Databases
IEEE Transactions on Software Engineering
The TSIMMIS Approach to Mediation: Data Models and Languages
Journal of Intelligent Information Systems - Special issue: next generation information technologies and systems
RQL: a declarative query language for RDF
Proceedings of the 11th international conference on World Wide Web
EDUTELLA: a P2P networking infrastructure based on RDF
Proceedings of the 11th international conference on World Wide Web
Piazza: data management infrastructure for semantic web applications
WWW '03 Proceedings of the 12th international conference on World Wide Web
RDFSculpt: managing RDF schemas under set-like semantics
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Semantic query routing and processing in p2p database systems: the ICS-FORTH SQPeer middleware
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
A web service-based system for sharing distributed XML data using customizable schema
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Composing data-providing web services in P2P-based collaboration environments
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Hi-index | 0.00 |
Web communities involve networks of loosely coupled data sources. Members in those communities should be able to pose queries and gather results from all data sources in the network, where available. At the same time, data sources should have limited restrictions on how to organize their data. If a global schema is not available for such a network, query processing is strongly based on the existence of (hard to maintain) mapping rules between pairs of data sources. If a global schema is available, local schemas of data sources have to follow strict modelling restrictions posed by that schema. In this paper, we suggest an architecture to provide better support for distributed data management in loosely coupled data sources. In our approach, data sources can maintain diverse schemas. No explicit mapping rules between data sources are needed to facilitate query processing. Data sources can join and leave the network any time, at no cost for the community. We demonstrate our approach, describing SDQNET, a prototype platform to support semantic query processing in loosely coupled data sources.