Authors
Senjuti Basu Roy, Haidong Wang, Ullas Nambiar, Gautam Das, Mukesh Mohania
Publication date
2009/3/29
Conference
2009 IEEE 25th International Conference on Data Engineering
Pages
1463-1466
Publisher
IEEE
Description
Extracting information and insights from large databases is a time-consuming activity and has received considerable research attention recently. In this demo, we present DynaCet - a domain independent system that provides effective minimum-effort based dynamic faceted search solutions over enterprise databases. At every step, Dynacet suggests facets depending on the user response in the previous step. Facets are selected based on their ability to rapidly drill down to the most promising tuples, as well as on the ability of the user to provide desired values for them. The benefits provided include faster access to information stored in databases while taking into consideration the variance in user knowledge and preferences.
Total citations
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Scholar articles
SB Roy, H Wang, U Nambiar, G Das, M Mohania - 2009 IEEE 25th International Conference on Data …, 2009