A Micro-Web Involving Learning Scenario Generation with Linked Open Data for Web-Based Investigative Learning

In investigative learning with Web resources, learners need to define the relationship between the topic and sub-topics through the creation of learning scenario. However, the Web space is not well-structured for learning. It is accordingly difficult for the learners to construct a learning scenario by themselves. The main purpose of this paper is to build up Micro Web inheriting the characteristics of the Web, which involves automatic generation of learning scenario by means of DBpedia Japanese as Linked Open Data (LOD) for Wikipedia. Such generated scenario enables an adaptive support for the learning scenario creation.