AAAI 2006
Supporting Queries with Imprecise Constraints
Abstract
In this paper, we motivate the need for and challenges involved in supporting imprecise queries over Web databases. Then we briefly explain our solution, AIMQ - a domain independent approach for answering imprecise queries that automatically learns query relaxation order by using approximate functional dependencies. We also describe our approach for learning similarity between values of categorical attributes. Finally, we present experimental results demonstrating the robustness, efficiency and effectiveness of AIMQ.
Authors
Keywords
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Context
- Venue
- AAAI Conference on Artificial Intelligence
- Archive span
- 1980-2026
- Indexed papers
- 28718
- Paper id
- 542489434146903672