Topic Mapping to Support Users in Literature Search

Autor:	Ethan Trewhitt, Elizabeth Whitaker, Robert E. Wray, Dawn Riddle
Rok vydání:	2021
Předmět:	Set (abstract data type) Information retrieval Topic Maps Computer science business.industry Component (UML) Cloud computing Workspace Space (commercial competition) tf–idf business Visualization
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:	https://explore.openaire.eu/search/publication?articleId=doi_________::5c92c10d99544e92a5368ce40febeade https://doi.org/10.1007/978-3-030-80000-0_41 Zobrazit plný text záznamu