Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
A storyboard of the APOSDLE vision
EC-TEL'06 Proceedings of the First European conference on Technology Enhanced Learning: innovative Approaches for Learning and Knowledge Sharing
MoKi: The Enterprise Modelling Wiki
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Semantic Web computing in industry
Computers in Industry
Using concept maps to improve proactive information delivery in TaskNavigator
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Using mobile technology for inter-organisational collaboration and end-customer integration
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
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Modern businesses operate in a rapidly changing environment. Continuous learning is an essential ingredient in order to stay competitive in such environments. The APOSDLE system utilizes semantic web technologies to create a generic system for supporting knowledge workers in different domains to learn work. Since APOSDLE relies on three interconnected semantic models to achieve this goal, the question on how to efficiently create high-quality semantic models has become one of the major research challenges. On the basis of two concrete examples-namely deployment of such a learning system at EADS, a large corporation, and deployment at ISN, a network of SMEs-we report in detail the issues a company has to face, when it wants to deploy a modern learning environment relying on semantic web technology.