Providing better support for a class of decision support queries
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Temporal aggregation in active database rules
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Cooperative Query Answering with GeneralizedQuantifiers
Journal of Intelligent Information Systems
Safety, domain independence and generalized quantification
Data Engineering
Algorithms and applications for universal quantification in relational databases
Information Systems - Special issue: Best papers from EDBT 2002
Universal Quantification in Relational Databases: A Classification of Data and Algorithms
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Optimizing Queries with Universal Quantification in Object-Oriented and Object-Relational Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Extending Entity-Relationship Models with Higher-Order Operators
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
User-Defined Aggregates in Database Languages
DBPL '99 Revised Papers from the 7th International Workshop on Database Programming Languages: Research Issues in Structured and Semistructured Database Programming
Handbook of massive data sets
Non-linear prefixes in query languages
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Evaluating Universal Quantification in XML
IEEE Transactions on Knowledge and Data Engineering
An efficient denotational semantics for natural language database queries
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Efficient implementation of generalized quantification in relational query languages
Proceedings of the VLDB Endowment
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A generalized quantifier is a particular kind of operator on sets. Coming under increasing attention recently by linguists and logicians, they correspond to many useful natural language phrases, including phrases like: three, Chamberlin's three, more than three, fewer than three, at most three, all but three, no more than three, not more than half the, at least two and not more than three, no student's, most male and all female, etc. Reasoning about quantifiers is a source of recurring problems for most SQL users, and leads to both confusion and incorrect expression of queries. By adopting a more modern and natural model of quantification these problems can be alleviated. We show how generalized quantifiers can be used to improve the SQL interface.