SYSTEM/U: a database system based on the universal relation assumption
ACM Transactions on Database Systems (TODS)
The design and implementation of INGRES
ACM Transactions on Database Systems (TODS)
A generalized access path model and its application to a relational data base system
SIGMOD '76 Proceedings of the 1976 ACM SIGMOD international conference on Management of data
Graph Algorithms
Responding intelligently to unparsable inputs
Computational Linguistics
Ungrammaticality and extra-grammaticality in natural language understanding systems
ACL '79 Proceedings of the 17th annual meeting on Association for Computational Linguistics
Theory of Relational Databases
Theory of Relational Databases
Explaining ambiguity in a formal query language
ACM Transactions on Database Systems (TODS)
FLEX: A Tolerant and Cooperative User Interface to Databases
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Dynamic Derivation of Personalized Views
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
An enhanced search interface for information discovery from digital libraries
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Comprehensible answers to précis queries
CAiSE'06 Proceedings of the 18th international conference on Advanced Information Systems Engineering
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
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A database token is a value of either the data or the metadata. Usually, such tokens are combined with formal language constructs to form queries. In this paper we show how a given set of tokens may be completed to a proper query. This process provides a useful means of communication between naive users and databases, allowing them to express simple requests by listing several tokens. As the inferred query is always shown to the user, this process has a side effect of instructing the user in the proper use of the query language. The method is described and demonstrated with relational databases, but its principles may be implemented with other databases as well.