A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
The hyperion project: from data integration to data coordination
ACM SIGMOD Record
Ontology mapping: the state of the art
The Knowledge Engineering Review
Efficient query reformulation in peer data management systems
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
GrouPeer: Dynamic clustering of P2P databases
Information Systems
Ontology translation on the semantic web
Journal on Data Semantics II
A survey of schema-based matching approaches
Journal on Data Semantics IV
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We are interested in the problem of data sharing in overlay networks that have a social structure, i.e. participants are linked and exchange data with others w.r.t. the similarity of their data semantics. In this paper we propose a methodology to produce conceptual synopses for the semantics that are encapsulated in the schemas of relational data that are shared in a social network. These synopses are constructed solely based on semantics that can be deduced from schemas themselves with some optional additional conceptual clarifications. The produced synopses represent in a concentrated way the current semantics. Existing or new participants can refer to these synopses in order to determine their interest in the network. We present a methodology that employs the conceptual synopsis for the construction of a mediating schema. These can be used as global interfaces for sharing of information in the social network. Furthermore, we extend our methodology in order to compress the conceptual synopsis such that infrequent concepts are eliminated and the respective inferred global schema encapsulates the most popular semantics of the social network.