A knowledge-intensive problem is often not solved by an individual knowledge artifact; rather the solution needs to draw upon multiple, and even heterogeneous, knowledge artifacts....
This paper describes a novel semantic framework for an agent architecture. Drawing on Shoham's work on AGENT0 (Shoham 1993), we replace Shoham's modal logic semantics wi...
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
We outline the application of a framework for managing information quality (IQ) in proteomics. The approach allows scientists to define the quality characteristics that are of im...
Alun D. Preece, Binling Jin, Paolo Missier, Suzann...
Knowledge Provenance (KP) is proposed to address the problem of how to determine the validity and origin of web information by introducing standards and methods for modeling and ma...