Despite its explosive growth over the last decade, the Web remains essentially a tool to allow humans to access information. The next generation of the Web, dubbed the ‘Semantic Web’, will extend the Web’s capability through the increased availability machine-processable information. These machine-processable descriptions of Web information resources are called meta-data and are associated with ontologies, or conceptualisations of the domain of application. Meta-data and associated ontologies then allows more intelligent software systems to be written, automating the analysis and exploitation of Web-based information.This paper describes how knowledge management can be improved through the adoption of Semantic Web technology. To realise this, a number of different technologies need to be brought together. Their fusion provides the infrastructure which makes semantic knowledge management possible. Specifically, the paper discusses the use of knowledge discovery and human language technology to (semi-)automatically derive the required ontologies and meta-data, along with a methodology to support this process. We describe techniques for management and controlled evolution of ontologies and a set of semantic knowledge access tools for enhanced information access. Finally, a set of application scenarios for the technology are sketched.
