Title :
DynaCet: Building Dynamic Faceted Search Systems over Databases
Author :
Roy, Senjuti Basu ; Wang, Haidong ; Nambiar, Ullas ; Das, Gautam ; Mohania, Mukesh
Author_Institution :
Dept of Comput. Sci. & Eng., Univ. of Texas at Arlington, Arlington, TX
fDate :
March 29 2009-April 2 2009
Abstract :
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.
Keywords :
business data processing; database management systems; DynaCet; dynamic faceted search system; enterprise databases; Customer service; Data analysis; Data engineering; Data mining; Data warehouses; Keyword search; Motion pictures; Taxonomy; Transaction databases; USA Councils; Data Browsing; Dynamic Faceted Search System; Minimum-effort entity search;
Conference_Titel :
Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3422-0
Electronic_ISBN :
1084-4627
DOI :
10.1109/ICDE.2009.117