VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
A probabilistic framework for vague queries and imprecise information in databases
Proceedings of the sixteenth international conference on Very large databases
Imprecise information and uncertainty in information systems
ACM Transactions on Information Systems (TOIS)
CoBase: a scalable and extensible cooperative information system
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Extended Boolean information retrieval
Communications of the ACM
Modern Information Retrieval
Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
Reactive ranking for cooperative databases
SCCC '97 Proceedings of the 17th International Conference of the Chilean Computer Science Society
SimFusion: measuring similarity using unified relationship matrix
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
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With the growing availability of online information systems, a need for user interfaces that are flexible and easy to use has arisen. For such type of systems, an interface that allows the formulation of approximate queries can be of great utility since these allow the user to quickly explore the database contents even when he is unaware of the exact values of the database instances. Our work focuses on this problem, presenting a new model for ranking approximate answers and a new algorithm to compute the semantic similarity between attribute values, based on information retrieval techniques. To demonstrate the utility and usefulness of the approach, we perform a series of usability tests. The results suggest that our approach allows the retrieval of more relevant answers with less effort by the user.