Computer
Properties of extended Boolean models in information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A guide to the SQL standard (4th ed.): a user's guide to the standard database language SQL
A guide to the SQL standard (4th ed.): a user's guide to the standard database language SQL
A formula for incorporating weights into scoring rules
Theoretical Computer Science - Special issue on the 6th International Conference on Database Theory—ICDT '97
Foundations of Fuzzy Systems
Proceedings of the 17th International Conference on Data Engineering
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
ACM SIGMM retreat report on future directions in multimedia research
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Theory of Relational Databases
Theory of Relational Databases
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
The VLDB Journal — The International Journal on Very Large Data Bases
The VLDB Journal — The International Journal on Very Large Data Bases
A survey of top-k query processing techniques in relational database systems
ACM Computing Surveys (CSUR)
On the Properties of Prototype-Based Fuzzy Classifiers
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Applying weighted queries on probabilistic databases
Proceedings of the 21st ACM international conference on Information and knowledge management
A top-k filter for logic-based similarity conditions on probabilistic databases
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
ProQua: a system for evaluating logic-based scoring functions on uncertain relational data
Proceedings of the 16th International Conference on Extending Database Technology
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Evaluating a traditional database query against a data tuple yields true on match and false on mismatch. Unfortunately, there are many application scenarios where such an evaluation is not possible or does not adequately meet user expectations about vague and uncertain conditions. Thus, there is a need for incorporating impreciseness and proximity into a logic-based query language. The calculus query language CQQL [24] has been developed for such scenarios by exploiting results from quantum logic. In this work we will show how to integrate underlying ideas and concepts of CQQL into SQL.