SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications.

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.) Pub Date : 2017-04-01 DOI:10.1145/3077257.3077262

Alexandr A Kalinin, Selvam Palanimalai, Ivo D Dinov

{"title":"SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications.","authors":"Alexandr A Kalinin, Selvam Palanimalai, Ivo D Dinov","doi":"10.1145/3077257.3077262","DOIUrl":null,"url":null,"abstract":"<p><p>The modern web is a successful platform for large scale interactive web applications, including visualizations. However, there are no established design principles for building complex visual analytics (VA) web applications that could efficiently integrate visualizations with data management, computational transformation, hypothesis testing, and knowledge discovery. This imposes a time-consuming design and development process on many researchers and developers. To address these challenges, we consider the design requirements for the development of a module-based VA system architecture, adopting existing practices of large scale web application development. We present the preliminary design and implementation of an open-source platform for Statistics Online Computational Resource Analytical Toolbox (SOCRAT). This platform defines: (1) a specification for an architecture for building VA applications with multi-level modularity, and (2) methods for optimizing module interaction, re-usage, and extension. To demonstrate how this platform can be used to integrate a number of data management, interactive visualization, and analysis tools, we implement an example application for simple VA tasks including raw data input and representation, interactive visualization and analysis.</p>","PeriodicalId":92279,"journal":{"name":"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)","volume":"2017 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3077257.3077262","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3077257.3077262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

Abstract

The modern web is a successful platform for large scale interactive web applications, including visualizations. However, there are no established design principles for building complex visual analytics (VA) web applications that could efficiently integrate visualizations with data management, computational transformation, hypothesis testing, and knowledge discovery. This imposes a time-consuming design and development process on many researchers and developers. To address these challenges, we consider the design requirements for the development of a module-based VA system architecture, adopting existing practices of large scale web application development. We present the preliminary design and implementation of an open-source platform for Statistics Online Computational Resource Analytical Toolbox (SOCRAT). This platform defines: (1) a specification for an architecture for building VA applications with multi-level modularity, and (2) methods for optimizing module interaction, re-usage, and extension. To demonstrate how this platform can be used to integrate a number of data management, interactive visualization, and analysis tools, we implement an example application for simple VA tasks including raw data input and representation, interactive visualization and analysis.

Abstract Image

查看原文本刊更多论文

SOCRAT平台设计:交互式可视化分析应用程序的Web架构。

现代web是大型交互式web应用程序(包括可视化)的成功平台。然而，对于构建复杂的可视化分析(VA) web应用程序，没有既定的设计原则可以有效地将可视化与数据管理、计算转换、假设检验和知识发现集成在一起。这给许多研究人员和开发人员带来了耗时的设计和开发过程。为了解决这些挑战，我们考虑了基于模块的虚拟现实系统架构开发的设计需求，采用了现有的大规模web应用程序开发实践。我们提出了统计在线计算资源分析工具箱(SOCRAT)的一个开源平台的初步设计和实现。该平台定义:(1)用于构建具有多级模块化的VA应用程序的体系结构规范，以及(2)用于优化模块交互、重用和扩展的方法。为了演示如何使用该平台集成许多数据管理、交互式可视化和分析工具，我们实现了一个示例应用程序，用于简单的VA任务，包括原始数据输入和表示、交互式可视化和分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)

自引率

0.00%

发文量