Mining for Content Re-Use and Exchange -- Solutions and Problems

A. Merceron, C. Oliveira, M. Scholl, Carsten Ullrich

In: Poster Proceedings of the 3rd International Semantic Web Conference, ISWC2004. IEEE International Symposium on Wearable Computers (ISWC-2004) Hiroshima Japan Pages 39-40 11/2004.


Valuable information can be gained by mining metadata of educational resources. However, if the mined data is annotated using IEEE Learning Objects and Metadata standard (LOM), then significant pedagogical information is missing. In this paper, we will describe how an ontology of pedagogical objects that captures the "pedagogical semantics" of a learning resource helps data mining to retrieve more precise information. Two case studies illustrate the advantages of an ontological approach.

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz