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SIGMOD
2007
ACM
114views Database» more  SIGMOD 2007»
14 years 5 months ago
Managing information quality in e-science: the qurator workbench
Data-intensive e-science applications often rely on third-party data found in public repositories, whose quality is largely unknown. Although scientists are aware that this uncert...
Alun D. Preece, Binling Jin, Paolo Missier, R. Mar...
ESWS
2006
Springer
13 years 9 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...
CONCURRENCY
2008
98views more  CONCURRENCY 2008»
13 years 5 months ago
An ontology-based approach to handling information quality in e-Science
context. In contrast to previous approaches that take a very abstract view of IQ properties, we allow scientists to define the quality characteristics that are of importance to the...
Alun D. Preece, Paolo Missier, Suzanne M. Embury, ...
ER
2005
Springer
126views Database» more  ER 2005»
13 years 11 months ago
Managing Information Quality in e-Science: A Case Study in Proteomics
We describe a new approach to managing information quality (IQ) in an e-Science context, by allowing scientists to define the quality characteristics that are of importance in the...
Paolo Missier, Alun D. Preece, Suzanne M. Embury, ...
OTM
2009
Springer
14 years 8 days ago
Ontology-Driven Provenance Management in eScience: An Application in Parasite Research
Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experime...
Satya Sanket Sahoo, D. Brent Weatherly, Raghava Mu...