摘要:Selecting appropriate learning services for a learner from the large number of heterogeneous knowledge sources is a complex and challenging task. This paper presents the idea of Smart Spaces for Learning. A Smart Space for Learning is defined as a distributed system (ie "space") that provides management support for the "smart" retrieval and consumption of heterogeneous learning services via Personal Learning Assistants. Personalisation and system interoperability play an important role for the realisation of a Smart Space for Learning. In this paper we illustrate and discuss how Semantic Web technologies such as RDF, TRIPLE, QEL and ontologies can be applied to create a Smart Space for Learning.