Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Report on WebDB'2000: 3rd international workshop on the Web and databases
ACM SIGKDD Explorations Newsletter
EDUTELLA: a P2P networking infrastructure based on RDF
Proceedings of the 11th international conference on World Wide Web
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Semantic and schematic similarities between database objects: a context-based approach
The VLDB Journal — The International Journal on Very Large Data Bases
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Piazza: data management infrastructure for semantic web applications
WWW '03 Proceedings of the 12th international conference on World Wide Web
Efa: An Efficient Content Routing Algorithm in Large Peer-to-Peer Overlay Networks
P2P '03 Proceedings of the 3rd International Conference on Peer-to-Peer Computing
MDSManager: A System Based on Multidatasource Approach for Data Integration
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Information Fusion
Semantic query routing in senpeer, a P2P data management system
NBiS'07 Proceedings of the 1st international conference on Network-based information systems
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In Peer Data Management system (PDMS), two fundamental problems for data fusion arise: (a) how to build a semantic reconciliation between data sources schemas managed by peers, and (b) how to locate relevant peers for a given query. Our proposal lies in the application of multi-data source fusion approach [15] in the PDMS context. Multi-data source schemas, which are distributed shared and maintained by peers, are the basis of a semantic overlay network. The design for Peer Multi-Data source Management System (PMDMS) was presented in [16] is an extension of MDS-Manager system [14] [15] where data sources are distributed among peers. In this paper, we focus on the MatchMaker component in PMDMS that has the semantic reconciliation (i.e. mapping) responsibility between concrete data sources schemas (i.e. schemas describing data to share with other peers) also known as expertise. Our approach of semantic reconciliation is based on ontologies and XML technologies. Indeed, the peer schema (i.e. an ontology expressed with OWL/RDF), is annotated with a set of synonymous in order to guide later the search of semantics equivalences between expertises. The mappings results are stored in an XML document called Conflicts data source (a part of the multi-data source) as semantic links between concepts such as equivalence, synonym, homonym or disjoint concepts.