KNOWLEDGE VISUALIZATION AND ORDERING

Welcome to the KVO homepage!

The KVO objective is to conduct quality computer science research into the ways that information and order theory can be applied to drawing, reasoning and visualizing knowledge in the context of knowledge management.

Knowledge includes structured information of the sort contained in databases as well as complex topological structures. We are also interested in mining free-text and unstructured information sources. Knowledge management refers to computer-based maintenance and re-use of archives and other stored data to enhance organizational performance. By visualization, we mean the construction of information spaces that reveal the semantic content of information, and allowing for browsing and exploring that structure.

Our present emphasis is integrating free-text and ontologies using technologies such as formal concept analysis and conceptual graphs. We are not an AI research group although most of us are AI-trained. Our work involves engineering distributed systems using Web-based technologies. In support we employ natural language, knowledge representation, information retrieval, data mining (KDD) and uncertainty reasoning.

As computer scientists working on Web-based systems, we focus on applications illustrating basic ideas within the constraints of University research and its resourcing.

We gratefully acknowledge the support of the DSTC CRC.