A Theory of Attributed Equivalence in Databases with Application to Schema Integration
IEEE Transactions on Software Engineering
Using semantic values to facilitate interoperability among heterogeneous information systems
ACM Transactions on Database Systems (TODS)
Using schematically heterogeneous structures
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
The Clio project: managing heterogeneity
ACM SIGMOD Record
On Efficiently Implementing SchemaSQL on an SQL Database System
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Formalizing the Informational Content of Database User Interfaces
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
A comprehensive solution to the XML-to-relational mapping problem
Proceedings of the 6th annual ACM international workshop on Web information and data management
A generic and customizable framework for the design of ETL scenarios
Information Systems - Special issue: The 15th international conference on advanced information systems engineering (CAiSE 2003)
Context-sensitive clinical data integration
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Reverse engineering user interfaces for interactive database conceptual analysis
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Database semantics recovery through analysis of dynamic SQL statements
Journal on data semantics XV
From pattern-based user interfaces to conceptual schemas and back
ER'11 Proceedings of the 30th international conference on Conceptual modeling
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Frequently, the structure and description of the data in a database bears little resemblance to the structure and description of data as it appears in the tool that captured it. This makes it difficult for users to write queries because they receive little information from the database schema regarding the precise meaning of the data. We assert that the semantics of data can be more reliably understood by viewing the data in the context of the user interface (UI) of the software tool used to enter the data rather than the bare framework of a database. GUAVA (GUi As View) presents a conceptual model that captures information about user interface components. In this paper, we describe how to model a forms-based UI using a GUAVA-tree (g-tree), which can be used to generate a natural schema against which querying is simple. We then introduce and formalize the notion of a channel of database transformation operators from the natural schema to the underlying physical schema.