demonstration

Building an open data visualisation web app using a data server: the Styrian diversity visualisation project

Authors:

Thomas Traunmüller,

Thomas Wolkinger,

Robert Gutounig,

Julian AusserhoferAuthors Info & Claims

i-KNOW '15: Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business

Article No.: 48, Pages 1 - 4

https://doi.org/10.1145/2809563.2809596

Published: 21 October 2015 Publication History

Abstract

Statistical open data is usually provided only in the form of spreadsheets or CSV files, which can sometimes be very large. The writer of an open data app is confronted with two choices: restrict themselves to managable bite-sized chunks of data, which can be consumed (read, parsed, and held in memory) in one go, or install and maintain their own data server which the app can query on demand.

The Styrian Diversity Visualisation project was conceived to visualise the diversity of inhabitants of the Austrian Province of Styria (Land Steiermark) using open data served from a data server (triple store). The corresponding web app queries the data server at run rime with a SPARQL query to obtain exactly the data required at that particular time, greatly simplifying its internal logic. There is no need to parse and store entire data sets in memory.

The data server is an instance of a Virtuoso Open Source server. The web app (client) is written in HTML5 and uses the leafletjs JavaScript library to provide mobile-friendly interactive maps. The user interface was designed as a set of three stories, each guiding users through a scenario with accompanying interactive visualisations based on corresponding open data sets.

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Cited By

Hadjar HMeziane AGherbi RSetitra IAouaa N(2018)WebVR based Interactive Visualization of Open Health DataProceedings of the 2nd International Conference on Web Studies10.1145/3240431.3240442(56-63)Online publication date: 3-Oct-2018
https://dl.acm.org/doi/10.1145/3240431.3240442

Index Terms

Building an open data visualisation web app using a data server: the Styrian diversity visualisation project
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
    2. Visualization techniques
2. Information systems
  1. Data management systems
    1. Database design and models
      1. Graph-based database models
  2. World Wide Web
    1. Web data description languages
      1. Semantic web description languages
        Resource Description Framework (RDF)
    2. Web interfaces
      1. Mashups

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Information

Published In

cover image ACM Other conferences

i-KNOW '15: Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business

October 2015

314 pages

ISBN:9781450337212

DOI:10.1145/2809563

General Chairs:
Stefanie Lindstaedt
Know-Center Graz, Austria & Graz University of Technology
,
Tobias Ley
Tallin University, Estonia
,
Harald Sack
Hasso-Platter Institute for IT Systems Engineering, Germany

Copyright © 2015 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 21 October 2015

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i-KNOW '15

i-KNOW '15: 15th International Conference on Knowledge Technologies and Data-Driven Business

October 21 - 22, 2015

Graz, Austria

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Cited By

Hadjar HMeziane AGherbi RSetitra IAouaa N(2018)WebVR based Interactive Visualization of Open Health DataProceedings of the 2nd International Conference on Web Studies10.1145/3240431.3240442(56-63)Online publication date: 3-Oct-2018
https://dl.acm.org/doi/10.1145/3240431.3240442

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