Enhancing an Environment for Knowledge Acquisition based on Web Resources by Automatic Tag Type Identification

Resource based learning is a form of demand-oriented learning where learners close knowledge gaps by self-directed knowledge acquisition. The WWW is commonly used as a major source for knowledge acquisition. Resource based learning requires a good resource management for persisting and reusing of research results. One possibility for resource management are tagging systems. This paper describes our research and learning environment supporting resource based learning on the basis of a semantic tagging concept. This concept enhances pure tagging by describing tags semantically by their type. From the evaluation, we conclude that there is a need for identifying the tag type automatically, thus we develop an algorithm for automatic tag type identification.