SYSTEM/U: a database system based on the universal relation assumption
ACM Transactions on Database Systems (TODS)
Managing semantic heterogeneity in databases: a theoretical prospective
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Principles of distributed database systems (2nd ed.)
Principles of distributed database systems (2nd ed.)
On the foundations of the universal relation model
ACM Transactions on Database Systems (TODS)
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Toward logical data independence: a relational query language without relations
SIGMOD '82 Proceedings of the 1982 ACM SIGMOD international conference on Management of data
Formalizing Context (Expanded Notes)
Formalizing Context (Expanded Notes)
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
BANKS: browsing and keyword searching in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient IR-style keyword search over relational databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
A Data Model for Data Integration
Electronic Notes in Theoretical Computer Science (ENTCS)
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Logical data independence is central to a number of database research problems including data integration and keyword search. In this paper, a data model that unifies several of the most widely adopted data models is studied. The key is to disassociate metadata from particular roles. A high-level, context-based (or semantically-based) query language is introduced, and applications to the aforementioned areas of research are demonstrated briefly.