Topic Mapping to Support Users in Literature Search
Autor: | Ethan Trewhitt, Elizabeth Whitaker, Robert E. Wray, Dawn Riddle |
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Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Advances in Human Factors in Training, Education, and Learning Sciences ISBN: 9783030799991 AHFE (11) |
DOI: | 10.1007/978-3-030-80000-0_41 |
Popis: | This paper describes the design and development of the Topic Map, a visualization and user interaction component of a cloud-based tool, Archimedes. Archimedes is designed to help individuals and teams examine and organize the results of a literature search and use them to understand the space that they are researching. The Topic Map is a document surrogate, designed to help the user visualize the topic space represented by the search corpus. It shows frequently occurring but generally uncommon topics in a user’s workspace corpus. The Topic Mapper component generates the Topic Map automatically by extracting a list of topic phrases from the papers in the workspace, filtering and prioritizing what is displayed to the user based on a set of rules. It then visually distributes them in a two-dimensional space. This paper describes the motivation and design of the topic extraction implementation and its user interaction capabilities within Archimedes. |
Databáze: | OpenAIRE |
Externí odkaz: |
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