VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
Imprecise information and uncertainty in information systems
ACM Transactions on Information Systems (TOIS)
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Evaluating strategies for similarity search on the web
Proceedings of the 11th international conference on World Wide Web
Modern Information Retrieval
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Integrating similarity based retrieval and query refinement in databases
Integrating similarity based retrieval and query refinement in databases
A Frequency-based Approach for Mining Coverage Statistics in Data Integration
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Mining approximate functional dependencies and concept similarities to answer imprecise queries
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
Knowledge enhancement through ontology-guided text mining
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Estimating recall and precision for vague queries in databases
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
A framework for query refinement with user feedback
Journal of Systems and Software
On modeling query refinement by capturing user intent through feedback
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
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A growing number of databases especially those published on the Web are becoming available to external users. Users of these databases are provided simple form-based query interfaces that hide the underlying schematic details. Constrained by the expressiveness of the query interface users often have difficulty in articulating a precise query over the database. Supporting imprecise queries over such systems would allow users to quickly find relevant answers without iteratively refining their queries. For databases to support imprecise queries they must provide answers that closely match the query constraints. In this paper we focus on answering imprecise user queries without changing the existing database system. We propose to support imprecise queries over a database by identifying a set of related precise queries that provide answers that are relevant to the user given query. We present a domain independent approach based on information retrieval techniques to estimate the distance between queries. To demonstrate the utility and usefulness of our approach we perform usability tests and provide results.