Web-based information visualization

1997 ◽  
Vol 17 (4) ◽  
pp. 52-59 ◽  
Author(s):  
R.M. Rohrer ◽  
E. Swing
Keyword(s):  
Information Visualization ◽  
Web Based

Web-Based Decision Support for Knowledge Sharing and Management in Intelligent Buildings Assessment

2011 ◽  
pp. 958-968
Author(s):  
Zhen Chen ◽  
Ju Hong ◽  
Heng Li ◽  
Qian Xu
Keyword(s):  
Decision Support ◽  
Information Visualization ◽  
Geographical Information ◽  
Decision Support Model ◽  
Rating Systems ◽  
Web Based ◽  
Sustainable Technologies ◽  
Intelligent Buildings ◽  
Visualization Toolkit ◽  
Post Assessment

This article presents the knowledge-oriented information visualization (KIV) approach to facilitating the utilization of building rating systems at post-assessment stage. The KIV approach is introduced by using a Web-based decision support model. The model consists of several toolkits, including a case base of intelligent buildings to support the application of sustainable technologies, a Web-oriented information visualization toolkit for intelligent buildings assessment, and a geographical information system (GIS) toolkit for knowledge reuse in buildings variations. A case study is used to demonstrate how the KIV approach can be applied to support decision making at the post-assessment stage of intelligent buildings.

Enhancing Individuals' Cognition, Intelligence and Sharing Digital/Web-Based Knowledge Using Virtual Reality and Information Visualization Techniques and Tools within K-12 Education and its Impact on

2011 ◽  
pp. 245-319 ◽  
Author(s):  
Jorge Ferreira Franco ◽  
Irene Karaguilla Ficheman ◽  
Marcelo Knörich Zuffo ◽  
Valkiria Venâncio
Keyword(s):  
Virtual Reality ◽  
Information Visualization ◽  
Collaborative Work ◽  
Large Body ◽  
Independent Learning ◽  
Cultural Changes ◽  
Web Based ◽  
Learning And Teaching ◽  
K 12 ◽  
Visualization Techniques

This chapter addresses an ongoing work strategy for developing and sharing knowledge related to digital/ Web-based technology and multimedia tools, information visualization, computer graphics, desktop virtual reality techniques in combination with art/education. It includes a large body of research about advanced and contemporary technologies and their use for stimulating individuals’ education. These interactive processes of researching, developing and sharing knowledge have been carried out through interdisciplinary and collaborative learning and teaching experiences in the context of k-12 education in a primary public school and its surrounding community. The learning and direct manipulation of advanced and contemporary technologies have improved individuals’ technical skills, stimulated cooperative and collaborative work and innovations in the way of developing school’s curriculum content as well as supported ones’ independent learning. Furthermore, there have been changes on individuals’ mental models, behavior and cultural changes related to reflecting about diverse possibilities of using information and communication technology within collaborative formal and informal sustainable lifelong learning and teaching actions.

scholarly journals HIVE: Hierarchical Information Visualization for Explainability

2021 ◽  
Author(s):  
Yi-Ning Juan ◽  
Yi-Shyuan Chiang ◽  
Shang-Chuan Liu ◽  
Ming-Feng Tsai ◽  
Chuan-Ju Wang
Keyword(s):  
Deep Learning ◽  
Information Visualization ◽  
Financial Statements ◽  
Use Cases ◽  
Special Focus ◽  
Learning Models ◽  
Web Based ◽  
Risk Ranking ◽  
Interactive Tool ◽  
Ranking Model

In this demonstration, we develop an interactive tool, HIVE, to demonstrate the ability and versatility of an explainable risk ranking model with a special focus on financial use cases. HIVE is a web-based tool that provides users with automated highlighted financial statements, and HIVE is designed for making comparing statements rather more efficient. Moreover, with the proposed tool, users can find related reports at ease, and we believe that HIVE can benefit both academics and practitioners in finance as they can work around deep learning models with their newly gained insights.

Evaluation of opinion visualization techniques

2014 ◽  
Vol 14 (4) ◽  
pp. 339-358 ◽  
Author(s):  
Azra Shamim ◽  
Vimala Balakrishnan ◽  
Muhammad Tahir
Keyword(s):  
Information Visualization ◽  
Questionnaire Survey ◽  
Opinion Mining ◽  
Descriptive Statistics ◽  
Usability Study ◽  
Online Questionnaire ◽  
Web Based ◽  
Visualization Techniques ◽  
User Friendly ◽  
Level Of Agreement

In this article, we are reporting the findings of a usability study of opinion mining systems’ visualizations. The objectives of this study are to first to rank the visualizations of the opinion mining systems and second to identify important visualization metrics. A questionnaire survey was designed to ask users their level of agreement or disagreement about the 11 selected visualizations against a set of information visualization metrics on a Likert scale. The data were collected by conducting seminars and using a web-based online questionnaire (N = 146). The collected data were analyzed using descriptive statistics and an independent sample t-test to rank the visualizations and investigate differences between perceptions of the two groups of respondents (the participants of the seminars and the online questionnaire), respectively. The results revealed that simple, eye pleasing, easy to understand, user-friendly visualizations with less pre-knowledge required rated higher than others. It is concluded that the participants of the online questionnaire mostly required more pre-knowledge to comprehend the visualizations as compared to the participants of the seminars. The important information visualization metrics are eye pleasing, easy to understand, user-friendly, informative design, usefulness, and representation style. The results of this study could aid in the design and development of visualizations for opinion mining systems.

scholarly journals Integrated Information Visualization to Support Decision Making for Health Promotion in Chonburi, Thailand

2017 ◽  
Vol 16 (8) ◽  
pp. 551-560
Author(s):  
Puangrat JINPON ◽  
Mullica JAROENSUTASINEE ◽  
Krisanadej JAROENSUTASINEE
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Promotion ◽  
Information Visualization ◽  
Oil Refinery ◽  
Web Based ◽  
Assessment Program ◽  
Health Promotion Programs ◽  
Advanced Tool ◽  
Support Decision Making

A visualization of comprehensive data on health care enhances performance of decision-making in health promotion programs. We describe the design and prototype of a Dashboard Decision Support System (DDSS) as a web-based advanced tool for executives and health officers to plan and generate effective programs in health promotion and disease prevention. Data were obtained from 10 communities surrounding oil refinery, using Family and community Assessment Program (FAP), in operation since 2010. The system was developed using web-based technology and open standards, i.e., MySQL, PHP, Highcharts JS, and Google Maps. Perception of the system and its effectiveness were evaluated using a questionnaire after participants had had an approximately one month period of experience of using the system. The responses to the questionnaire were positive about the system features and system process. Using the DDSS, executives and health officers can deploy effective and appropriate programs to enhance health care in their communities.

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