Automatic Interpretation of Natural Language for a Multimedia E-learning Tool

Abstract. This paper describes the new e-learning tool CHESt that allows students to search in a knowledge base for short (teaching) multimedia clips by using a semantic search engine. We explain the different steps to automatically describe the meaning of the clips with RDF (Resource Description Framework). The concept is based on graph theory and retrieval algorithms. Finally, we present rules how a human question can be transformed into a RDF query. Thus, the knowledge base and the query have the same format and can be compared. 1 Our Multimedia E-learning Tool CHESt (Computer History Expert System) is the prototype of a new e-learning tool, see [7] for details. It focuses on three key features: the information is in a multimedia form, the content is split into small clips and a semantic search mechanism for information retrieval. We used Tele-TASK [1] [2] to record the lessons in order to create one well-structured multimedia stream. The result is a large number of RealMedia files ...

• Type: Conference
• Year: 2004
• Where: ICWE
• Authors: Serge Linckels, Christoph Meinel
• Keywords: E-learning Tool Chest, ICWE 2004, Knowledge Base, Multimedia