scholarly journals Information visualization with network services tools

2021 ◽  
Author(s):  
Evgeniya Sergeyevna Zharina ◽  
Yulia Sergeevna Riesen
Keyword(s):  
Data Visualization ◽  
Contextual Information ◽  
Main Idea ◽  
Network Services ◽  
Online Services ◽  
Educational Processes ◽  
Interactive Network ◽  
Visualization Tools ◽  
Flow Of Information ◽  
Generalization Of Data

Data visualization finds its application in many disciplines as the modern equivalent of visual communication, and at the same time does not belong to any specific field, but has its own significance in the presentation of information, ready-made data through the use of visualization tools. In the process of scientific communication, the problem arises of the possibility of methods for presenting information that will be understandable to the user. Therefore, in the process of the exponential growth of the documentary flow of information, the need for compression of information, visibility increases, while maintaining the integrity of the display of the main idea and compact generalization of data. The article discusses data visualization as a way of presenting information and options for using interactive network services to visualize contextual information. Using specific examples, the application of such technologies (services) is tested and presented to present ready-made data or information, which is a more visual, accessible way for perception, understanding and memorization. The study of online services as data visualization tools can be applied and have practical value in educational processes. The aim of the study was: search and study of effective methods of data presentation and clearly demonstrate the use of this method through online services as data visualization tools. The relevance of the work consists in the use of methods for presenting information as services and tools for automating the presentation of analysis, stages or results of work.

scholarly journals Developing effective data visualization tools for nutrition: reflections on the design of a Nutrition Scorecard in Nigeria

2021 ◽  
Vol 5 ◽  
pp. 98
Author(s):  
Yashodhara Rana ◽  
Gianni Dongo ◽  
Caroline Snead ◽  
Grace Agi ◽  
Oluwagbenga Sadik ◽  
...  
Keyword(s):  
Data Visualization ◽  
Target Audience ◽  
Theory Of Change ◽  
Open Letter ◽  
Target Groups ◽  
Design Processes ◽  
Participatory Processes ◽  
Visualization Tools ◽  
Collaborative Efforts ◽  
Constructive Action

There has been a growing number of nutrition data visualization tools (DVTs) to monitor progress towards targets and encourage action. However, there are few documented examples of how to go about designing effective DVTs for nutrition-related audiences. In this Open Letter, we summarize reflections from collaborative efforts between the Nigeria Governors’ Forum (NGF) and the Data for Decisions to Expand Nutrition Transformation project (DataDENT) in 2019-2021 to design a sub-national nutrition scorecard that aims to hold Nigeria’s 36 Governors accountable to nutrition commitments. Our reflections add to an emerging body of work advocating for DVT design processes to develop a specific theory of change for how the DVT will influence target groups and achieve aims. Once the target audience is identified, it is important to create a strong engagement strategy to ensure that the DVT promotes constructive action. We also highlight the importance of identifying actionable indicators through participatory processes. We hope that these insights about collaborative DVT design can be applied by countries and institutions who want to develop similar tools to advance the nutrition agenda in their context.

Semiotic Content of Visuals and Communication

2014 ◽  
pp. 174-192
Keyword(s):  
Data Visualization ◽  
Verbal Communication ◽  
Biological Data ◽  
Scientific Study ◽  
Visual Design ◽  
Basic Information ◽  
Natural Processes ◽  
Sign Systems ◽  
Visualization Tools ◽  
Living Organisms

The semiotic content of visual design makes a foundation for non-verbal communication applied to practice, especially for visualizing knowledge. The ways signs convey meaning define the notion of semiotics. After inspection of the notions of sign systems, codes, icons, and symbols further text examines how to tie a sign or symbol to that for which it stands, combine images, and think figuratively or metaphorically. Further text introduces basic information about communication through metaphors, analogies, and about the scientific study of biosemiotics, which examines communication in living organisms aimed at conveying meaning, communicating knowledge about natural processes, and designing the biological data visualization tools.

scholarly journals Literature mining for context-specific molecular relations using multimodal representations (COMMODAR)

2020 ◽  
Vol 21 (S5) ◽  
Author(s):  
Jaehyun Lee ◽  
Doheon Lee ◽  
Kwang Hyung Lee
Keyword(s):  
Biological Networks ◽  
Domain Knowledge ◽  
Contextual Information ◽  
Main Idea ◽  
Relation Extraction ◽  
Literature Mining ◽  
Computing Methodologies ◽  
Multimodal Representations ◽  
Relational Resources ◽  
Context Specific

Abstract Biological contextual information helps understand various phenomena occurring in the biological systems consisting of complex molecular relations. The construction of context-specific relational resources vastly relies on laborious manual extraction from unstructured literature. In this paper, we propose COMMODAR, a machine learning-based literature mining framework for context-specific molecular relations using multimodal representations. The main idea of COMMODAR is the feature augmentation by the cooperation of multimodal representations for relation extraction. We leveraged biomedical domain knowledge as well as canonical linguistic information for more comprehensive representations of textual sources. The models based on multiple modalities outperformed those solely based on the linguistic modality. We applied COMMODAR to the 14 million PubMed abstracts and extracted 9214 context-specific molecular relations. All corpora, extracted data, evaluation results, and the implementation code are downloadable at https://github.com/jae-hyun-lee/commodar. Ccs concepts • Computing methodologies~Information extraction • Computing methodologies~Neural networks • Applied computing~Biological networks.

scholarly journals A Virtual Reality Platform for Analyzing Remote Archaeological Sites

2019 ◽  
Vol 31 (2) ◽  
pp. 167-176 ◽  
Author(s):  
Brendan Cassidy ◽  
Gavin Sim ◽  
David Wayne Robinson ◽  
Devlin Gandy
Keyword(s):  
Virtual Reality ◽  
Native American ◽  
Data Visualization ◽  
Archaeological Sites ◽  
Archaeological Data ◽  
Key Stakeholders ◽  
World Class ◽  
Visualization Tools ◽  
Survey Evaluation

Abstract This paper describes a Virtual Reality (VR) prototype developed to help archaeologists and other stakeholders explore and analyse archaeological data in a more immersive context. We describe a VR reconstruction of Pleito Cave, a fragile world class rock-art site with accessibility limitation. Key stakeholders are identified and a prototype is described that provides a VR platform for visualizing and interacting with complex archaeological data (gathered from techniques such as decorrelation stretch and X-ray fluorescence) virtually ‘in situ’, in a way that would not be possible at the real site. The prototype allows multiple remote users to interact with the cave together remotely providing opportunities for collaborative interpretation and analysis of archaeological data. We also present a survey-based evaluation in which both archaeologists and Native American stakeholders indicate positive responses for measures of both engagement and value. Research Highlights An interactive, multi-user, immersive archaeological data visualization tool is described. Survey evaluation elicits insights into where the system provides value and engagement for key stakeholders. Thematic Analysis provides further design insights for future development of immersive archaeological data visualization tools.

scholarly journals Data Visualization Tools for Materials Properties Research

2017 ◽  
Vol 96 ◽  
pp. 00014 ◽  
Author(s):  
Artem Obkhodsky ◽  
Sergey Kuznetsov ◽  
Alexander Popov ◽  
Aleksey Zolotarev ◽  
Victor Sachkov
Keyword(s):  
Data Visualization ◽  
Materials Properties ◽  
Visualization Tools

Building Network Visualization Tools to Facilitate Metacognition in Complex Analysis

Leonardo ◽  
2011 ◽  
Vol 44 (3) ◽  
pp. 248-249
Author(s):  
Barbara Mirel
Keyword(s):  
Complex Analysis ◽  
Tool Design ◽  
Network Visualization ◽  
Visualization Tool ◽  
Complex Tasks ◽  
Interactive Network ◽  
Visualization Tools

If whole communities of domain analysts are to be able to use interactive network visualization tools productively and efficiently, tool design needs to adequately support the metacognition implicit in complex visual analytic tasks. Metacognition for such exploratory network-mediated tasks applies across disciplines. This essay presents metacognitive demands inherent in complex tasks aimed at uncovering relevant relationships for hypothesizing purposes and proposes network visualization tool designs that can support these metacognitive demands.

Employing Multidimensional Data Visualization Tools to Assess the Impact of Constraint Uncertainties on Complex Design Problems

2017 ◽  
Author(s):  
Gary M. Stump ◽  
Simon W. Miller ◽  
Michael A. Yukish ◽  
Christopher M. Farrell
Keyword(s):  
Data Visualization ◽  
Decision Makers ◽  
Multidimensional Data ◽  
Design Problems ◽  
Design Constraints ◽  
Performance Space ◽  
Multidimensional Data Visualization ◽  
Complex Design ◽  
Visualization Tools ◽  
The Impact

A potential source of uncertainty within multi-objective design problems can be the exact value of the underlying design constraints. This uncertainty will affect the resulting performance of the selected system commensurate with the level of risk that decision-makers are willing to accept. This research focuses on developing visualization tools that allow decision-makers to specify uncertainty distributions on design constraints and to visualize their effects in the performance space using multidimensional data visualization methods to solve problems with high orders of computational complexity. These visual tools will be demonstrated using an example portfolio design scenario in which the goal of the design problem is to maximize the performance of a portfolio with an uncertain budget constraint.

Sign in / Sign up

Export Citation Format

Share Document