The present study proposes LitStoryTeller, an interactive system for visually exploring the semantic structure of a scientific article. We demonstrate how LitStoryTeller could be used to answer some of the most fundamental research questions, such as how a new method was built on top of existing methods, based on what theoretical proof and experimental evidences. More importantly, LitStoryTeller can assist users to understand the full and interesting story a scientific paper, with a concise outline and important details. The proposed system borrows a metaphor from screen play, and visualizes the storyline of a scientific paper by arranging its characters (scientific concepts or terminologies) and scenes (paragraphs/sentences) into a progressive and interactive storyline. Such storylines help to preserve the semantic structure and logical thinking process of a scientific paper. Semantic structures, such as scientific concepts and comparative sentences, are extracted using existing named entity recognition APIs and supervised classifiers, from a scientific paper automatically. Two supplementary views, ranked entity frequency view and entity co-occurrence network view, are provided to help users identify the "main plot" of such scientific storylines. When collective documents are ready, LitStoryTeller also provides a temporal entity evolution view and entity community view for collection digestion.
|Number of pages||13|
|Publication status||Published - 2017|
|Event||16th International Conference on Scientometrics and Informetrics, ISSI 2017 - Wuhan, China|
Duration: 2017 Oct 16 → 2017 Oct 20
|Other||16th International Conference on Scientometrics and Informetrics, ISSI 2017|
|Period||17/10/16 → 17/10/20|
Bibliographical noteFunding Information:
This study is supported by the NSF project “A Visual Analytic Observatory of Scientific Knowledge” (NSF 1645264).
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Applied Mathematics
- Modelling and Simulation
- Statistics and Probability
- Management Science and Operations Research