Cartographic Modelling of Knowledge in

Abstract: With software engineering now being considered a fully-fledged knowledge industry in which the most valuable asset to an organisation is the knowledge held by its employees [BD08], high staff turnover rates are becoming increasingly worrying. If software engineering organisations are to maintain their competitive edge, they need to ensure that their intellectual capital continues to grow and is not lost as people move in and out of their employ. In this paper, the authors present work involving the formali-sation of a language that enables organisations to create and analyse maps of their organisational knowledge. In a more elaborate version of the traditional yellow-pages approach utilised in the cartographic school of thought, the proposed language models various relation-ships between knowledge assets, uses an event-driven mechanism to determine who knows what within the organisation, and finally provides metrics for detecting three types of risk related to knowl-edge management in modern software engineering. A three month evaluation of the language is also outlined and results discussed. An Event-Driven Language fo