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...
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Abstract. Semistructured data has no absolute schema xed in advance and its structure may be irregular or incomplete. Such data commonly arises in sources that do not impose a rigi...
Abstract— With the increasing popularity of parallel programming environments such as PC clusters, more and more sequential programmers, with little knowledge about parallel arch...
The literature on programming sensor networks has focused so far on g higher-level abstractions for expressing local node behavior. Kairos is a natural next step in sensor network ...