Distributed knowledge management using ontology learning

点击翻译按钮获取中文摘要

There has been increasing demand for Knowledge Management (KM) solutions for intellectual assets in companies and governmental organizations. Conventional KM solutions are mainly based on centralized architectures comprised of central databases or Web repositories accessible using browsers and semi-formal queries. Experience shows that such architectures cannot be used effectively in heterogeneous computing environments. Modern KM solutions concentrate on three key research areas: representation, distribution and management of knowledge resources. On the distribution and management side, run-time ontology resolution has recently received much attention.