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» Information Quality Measurement in Data Integration Schemas
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VLDB
2007
ACM
125views Database» more  VLDB 2007»
15 years 5 months ago
Data Integration with Uncertainty
This paper reports our first set of results on managing uncertainty in data integration. We posit that data-integration systems need to handle uncertainty at three levels, and do...
Xin Luna Dong, Alon Y. Halevy, Cong Yu
ESWS
2006
Springer
15 years 2 months ago
Managing Information Quality in e-Science Using Semantic Web Technology
Abstract. We outline a framework for managing information quality (IQ) in eScience, using ontologies, semantic annotation of resources, and data bindings. Scientists define the qua...
Alun D. Preece, Binling Jin, Edoardo Pignotti, Pao...
86
Voted
CAISE
2004
Springer
15 years 4 months ago
Data Integration Using ID-Logic
Abstract. ID-Logic is a knowledge representation language that extends first-order logic with non-monotone inductive definitions. This paper introduces an ID-Logic based framewor...
Bert Van Nuffelen, Alvaro Cortés-Calabuig, ...
95
Voted
IQ
2007
15 years 9 days ago
Rule-Based Measurement Of Data Quality In Nominal Data
: Sufficiently high data quality is crucial for almost every application. Nonetheless, data quality issues are nearly omnipresent. The reasons for poor quality cannot simply be bla...
Jochen Hipp, Markus Müller, Johannes Hohendor...
SIGMOD
2011
ACM
198views Database» more  SIGMOD 2011»
14 years 1 months ago
U-MAP: a system for usage-based schema matching and mapping
This demo shows how usage information buried in query logs can play a central role in data integration and data exchange. More specifically, our system U-Map uses query logs to g...
Hazem Elmeleegy, Jaewoo Lee, El Kindi Rezig, Moura...