Intelligence analysts are flooded with massive amounts of data from a multitude of sources and in many formats. From this raw data they attempt to gain insight that will provide de...
This paper discusses information quality issues concerning consumer data assimilated by telecommunication companies (telcos) in regional and global ventures. First, it describes v...
In this paper we outline a framework for assuring information quality (IQ) in an e-Science context, using semiotics theory, semantic explanation of resources, and data couplings. ...
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...
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...