An Exploratory Search for Presentation Contents based on Slide Semantic Structure

MOOC is a crucial platform for improving education; students are able to browse various presentation contents through the Web. Any single presentation content can only cover a small fraction of knowledge in a specific domain by a given query, and thus offers a limited depth of information. Students then have to go through series of presentation contents, but this would be time-consuming and difficult to explore relevant information from various presentation contents. Therefore, we aim to build a novel exploratory search tool based on a meaningfully structured presentation, called “iPoster.” The system places elements such as text and graphics of slides in a structural layout with a zooming user interface (ZUI) by semantically analyzing the slide structure. Through this, iPoster can support students interactively browsing slides, for retrieving and navigating information from other presentation contents by considering the students’ browsing behavior. In this paper, we discuss two types of exploratory search, (1) focused searching based on well-matched browsing behavior that enables users obtain details of specific topics; and (2) exploratory browsing based on partially-matched browsing behavior that enables the users find various relevant information on topics of interest. Keywords-exploratory search; presentation contents; iPoster;