A relational model of data for large shared data banks
Communications of the ACM
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Expressive query specification through form customization
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Proceedings of the VLDB Endowment
Automated creation of a forms-based database query interface
Proceedings of the VLDB Endowment
Query-by-example: operations on hierarchical data bases
AFIPS '76 Proceedings of the June 7-10, 1976, national computer conference and exposition
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Journal of Biomedical Informatics
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Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
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Query-by-example: a data base language
IBM Systems Journal
IBM Systems Journal
Model Transformation by Demonstration
MODELS '09 Proceedings of the 12th International Conference on Model Driven Engineering Languages and Systems
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ACM Transactions on the Web (TWEB)
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Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion
Model transformation by-example: a survey of the first wave
Conceptual Modelling and Its Theoretical Foundations
DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
High level definition of abstract domains in a relational data base system
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AUIC '13 Proceedings of the Fourteenth Australasian User Interface Conference - Volume 139
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
An overview of recent data base research
ACM SIGMIS Database
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Query-by-Example is a query language for use by non-programmers querying a relational data base. In an earlier paper, the features of this language were introduced; however, it was assumed that the data base was already defined and available to the user. In the first part of this paper we demonstrate that the operations of Query-by-Example can be used not only to query the data base but also to define it, including data descriptions and declarations of various integrity constraints. This is an attempt to provide the user with a simplified, unified interface for a variety of functions. In the second part of this paper it is shown how one can make preliminary interrogations to retrieve a subset of the data base needed for the formulation of a specific query. This becomes very useful in cases where the data-base is very large and the user's initial task of scanning the tables for the ones relevant to his specific query becomes by itself horrendous.