A Study on Structural and Semantic Analysis for Presentation Content Management

With the advent of Web services such as MOOC (e.g., Coursera, iTunes U) and presentation sharing websites (e.g., SlideShare, Prezi), to store presentation contents that they use in speeches and lectures owing to the features for searching, browsing, reusing, and sharing. For example, famous Coursera and SlideShare provide an online presentation archive for self-learning and later review. Although these tools and Web services make it easy for creating and sharing presentation contents are widely used, criticisms have pointed out their problems from the viewpoint of understandability about relevant information, structural information, and contextual information of presentation contents. In this research, we are challenging to support for retrieval, generation, grasping overviews of presentation contents by focusing three critical issues, that is, a) determining semantic relationships, b) extracting expression styles, and c) presenting presentation context in presentation contents.