The Knowledge-Remixing Bottleneck

The knowledge reengineering bottleneck

Knowledge engineering upholds a longstanding tradition that emphasises methodological issues associated with the acquisition and representation of knowledge in some (formal) language. This focus on methodology implies an ex ante approach: “think before you act”. The rapid increase of linked data poses new challenges for knowledge engineering, and the Semantic Web project as a whole. Although th...

Randomizing the Knowledge Acquisition Bottleneck

This paper addresses the knowledge acquisition bottleneck. It first takes an information-theoretic view of knowledge acquisition as having a basis in randomization theory and subsequently gives practical examples. The examples are taken from the field of expert compiler technology. Such technology can be used to effect the realization of fourth generation languages. These languages have been sh...

Ontologies and the Knowledge Acquisition Bottleneck

Ontologies and information sharing have a major role to play in the development of knowledge-based agents and the overcome of the knowledge acquisition bottleneck. This paper supports this claim by presenting an approach to ontology specification, import, and development that is part of Disciple-RKF. Disciple-RKF is a theory, methodology, and learning agent shell for the rapid development of kn...

Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management

Much of today’s organizational knowledge still exists outside of formal information repositories and often only in people’s heads. While organizations are eager to capture this knowledge, existing acquisition methods are not up to the task. Neither traditional artificial intelligencebased approaches nor more recent, less-structured knowledge management techniques have overcome the knowledge acq...

Catalyzing Creativity > < Remixing Scratch