Automatic Glossary Generation for Integrated Retrieval of Various Learning Materials based on Meta Data

Abstract

To Study with e-learning that uses various learning materials, it is difficult for the learner to obtain required information from among them. In such a case, glossary as an index for the materials helps the learner search required information. However, existance of many materials makes it difficult to update and expand the glossary. To solve the problem, this paper proposes the method of automatic glossary generation based on meta data appended to the materials. In the method, meta data appended to the learning materials can assist the glossary generation.