文章基本信息

标题：Automatic Tagging as a Support Strategy for Creating Knowledge Maps
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作者：Leonardo Moura De Araújo ; Doris Cáliz Ramos
期刊名称：Journal of Systemics, Cybernetics and Informatics
印刷版ISSN：1690-4532
电子版ISSN：1690-4524
出版年度：2017
卷号：15
期号：3
页码：32-40
出版社：International Institute of Informatics and Cybernetics
摘要：Graph organizers are powerful tools for both structuring andtransmitting knowledge. Because of their unique characteristics,these organizers are valuable for cultural institutions, whichown large amounts of information assets and need to constantlymake sense of them. On one hand, graph organizers are toolsfor connecting numerous chunks of data. On the other hand,because they are visual media, they offer a bird’s-eye viewperspective on complexity, which is digestible to the humaneye. They are effective tools for information synthesis, and arecapable of providing valuable insights on data. Informationsynthesis is essential for Heritage Interpretation, sinceinstitutions depend on constant generation of new content topreserve relevance among their audiences. While Mind Mapsare simpler to be structured and comprehended, KnowledgeMaps offer challenges that require new methods to minimizethe difficulties encountered during their assembly. This paperpresents strategies based on manual and automatic tagging as ananswer to this problem. In addition, we describe the results of ausability test and qualitative analysis performed to compare theworkflows employed to construct both Mind Maps andKnowledge Maps. Furthermore, we also talk about how wellconcepts can be communicated through the visualrepresentation of trees and networks. Depending on theemployed method, different results can be achieved, because oftheir unique topological characteristics. Our findings suggestthat automatic tagging supports and accelerates the constructionof graphs.
关键词：Knowledge Map; Mind Map; Automatic Tagging;Heritage Interpretation; Information Synthesis; Museum.