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» Question Answering System for Incomplete and Noisy Data
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ICAC
2006
IEEE
15 years 5 months ago
Informed data distribution selection in a self-predicting storage system
— Systems should be self-predicting. They should continuously monitor themselves and provide quantitative answers to What...if questions about hypothetical workload or resource c...
Eno Thereska, Michael Abd-El-Malek, Jay J. Wylie, ...
AWIC
2005
Springer
15 years 5 months ago
Towards a Multilingual QA System Based on the Web Data Redundancy
This paper explores the feasibility of a multilingual question answering approach based on the Web redundancy. The paper introduces a system prototype that combines a translation m...
Rita M. Aceves-Pérez, Luis Villaseño...
JASIS
2000
143views more  JASIS 2000»
14 years 11 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
WWW
2003
ACM
16 years 13 days ago
Text joins in an RDBMS for web data integration
The integration of data produced and collected across autonomous, heterogeneous web services is an increasingly important and challenging problem. Due to the lack of global identi...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...
CIKM
2010
Springer
14 years 9 months ago
Automatic schema merging using mapping constraints among incomplete sources
Schema merging is the process of consolidating multiple schemas into a unified view. The task becomes particularly challenging when the schemas are highly heterogeneous and autono...
Xiang Li 0002, Christoph Quix, David Kensche, Sand...