A Platform for Supporting Knowledge Mining and Reuse Based on Context Information of a Project

Abstract

Organizations implement Knowledge Management Systems (KMS) to maximize the effectiveness and reuse of knowledge assets in order to increase productivity and profitability. Thus, effective project management can place great demands on knowledge management solutions designed to support and streamline the execution of project-related tasks. Accordingly, in this work we extract knowledge from historical projects, design a project-in-context (PIC) meta-model, and deploy a platform that facilitates the capture and reuse of project-specific information based on the context. The research areas addressed in the work are as follows. (1) Knowledge acquisition: analyzing the type of project and its associated attributes and defining general, but essential, project context information based on the PIC model. (2) Knowledge discovery: the use of text mining and data mining techniques to extract knowledge items needed by workers, and discover the relationships between various knowledge items. (3) Knowledge utilization based on the context: with the proposed model and methods, several applications related to the reuse of project knowledge by pull- and push-based knowledge management strategies are developed to achieve effective project management. From the perspective of project management, the proposed model and system can help knowledge workers understand information about a current research project and resolve problems effectively. (Article content in Chinese with English extended abstract)

Keywords

• data mining
• knowledge discovery
• knowledge reuse
• project context information
• text mining