Distributed knowledge management using ontology learning

企业和政府组织对知识资产的知识管理（KM）解决方案的需求越来越大。传统的知识管理解决方案主要是基于集中式架构，包括中央数据库或Web存储库访问使用浏览器和半正式查询。经验表明，这种体系结构不能有效地用于异构计算环境。现代知识管理解决方案集中在三个关键的研究领域：知识资源的表示，分配和管理。在分发和管理方面，运行时本体解析最近受到了广泛关注。

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.