While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and comp...
Effective document classification is a long-pursued goal in knowledge management. This paper proposes a novel hybrid approach of semantic representation and statistical measuremen...
Abstract. This paper is concerned with generalization issues for a decision tree learner for structured data called Alkemy. Motivated by error bounds established in statistical lea...
The Semantic Grid aims at enhancing Grid architectures by knowledge engineering techniques. The service notion is central in this approach. Service-level agreements, called contrac...
We are investigating computational models for humancomputer interaction based on a uniform, declarative, knowledge representation. We describe a new implementation of our work cal...