Semantic Web Dog Food

Presented at: 7th International Semantic Web Conference (ISWC2008)

by Conny Christl, Chiara Ghidini, Joanna Guss, Stefanie Lindstaedt, Viktoria Pammer, Marco Rospocher, Peter Scheir, Luciano Serafini

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 technologies. Although we describe the experiences related to a specific system, we think that our reports are of interest to a wider audience, as APOSDLE relies on many “standard” semantic web technologies and consequently inherits both their advantages and disadvantages.

Keywords: application in industry, modeling method, semantic technology, work integrated learning

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2008/paper/in_use/26

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