Overview of cognitive visualisation

5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011) Pub Date : 2011-06-30 DOI:10.1109/DEST.2011.5936613

Mahsa Mooranian Anna, T. Dillon, Elizebeth Chang

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引用次数: 2

Abstract

Since the beginning of mankind, there has been a need to display knowledge in such a way that it could be easily understood. In today's highly technological world we face an overwhelming amount of information from a variety of sources, namely: business applications such as customer comments and communications, trade publications, internal research reports and competitor web sites. Most of this knowledge is stored in textual format so in order to conceptually visualize this information, we need to extract the knowledge it contains and then try to comprehend it. However, one of the characteristics of textual information is its unstructured format which is not readily assimilated and understood. This paper presents a summary of current techniques used in information visualization. We present some of the main visual text analytics systems, highlighting their techniques, in addition to providing a brief overview of visual text analytics, semantic analysis of text and ontology that could be used to facilitate the process of cognitive visualization.

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认知可视化概述

自从人类诞生以来，人们就需要以一种容易理解的方式来展示知识。在今天这个高科技的世界里，我们面临着来自各种来源的海量信息，即:商业应用程序，如客户评论和通信、贸易出版物、内部研究报告和竞争对手的网站。这些知识大多以文本形式存储，因此为了从概念上可视化这些信息，我们需要提取其中包含的知识，然后尝试理解它。然而，文本信息的一个特点是它的非结构化格式，不容易被吸收和理解。本文综述了当前信息可视化技术。我们介绍了一些主要的视觉文本分析系统，重点介绍了它们的技术，并简要概述了视觉文本分析、文本的语义分析和本体，这些可以用来促进认知可视化的过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)

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