Supporting queries with imprecise constraints
Ullas B. Nambiar, Subbarao Kambhampati · 2006
In this paper, we motivate the need for and challenges in-volved in supporting imprecise queries over Web databases. Then we briefly explain our solution, AIMQ- a domain inde-pendent approach for answering imprecise queries that auto-matically 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 ro-bustness, efficiency and effectiveness of AIMQ.