Replacing the Monolithic LOM: A Folksonomic Approach

IEEE-LOM is a well-known metadata standard for describing learning resources. However, many problems are associated with this kind of representation, which include the number of fields to be filled and the amount of time needed to fill them. To overcome this hurdle, we propose the use of cheap unstructured metadata to create structured semantic metadata, this metadata is called folksonomy. In this paper we show an approach that uses folksonomy tags to create structured metadata using semantic web technologies. The generated folksonomic metadata are then evaluated against a human expert annotation.

• Type: Conference
• Year: 2007
• Where: ICALT
• Authors: Hend S. Al-Khalifa, Hugh C. Davis
• Keywords: ICALT 2007, Machine Learning, Metadata, Structured Semantic Metadata, Well-known Metadata Standard