Information- and Data Visualization

In todays' data economy it is of high importance to provide mechanisms and tools to make data and information easy understandable by domain experts, professionals and the broadest range of end-users! Data is meaningful and we can tell important and rich (data) stories when we provide - beside the data in machine readable formats - also human readable versions and interpretations of data. SWC is specialised in visualising data and information for our customers...

Excerpt from Wikipedia Data Visualization:
'A primary goal of data visualization is to communicate information clearly and efficiently to users via the information graphics selected, such as tables and charts. Effective visualization helps users in analyzing and reasoning about data and evidence. It makes complex data more accessible, understandable and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task. Tables are generally used where users will look-up a specific measure of a variable, while charts of various types are used to show patterns or relationships in the data for one or more variables.'

As follows you find examples / use cases of our work in Data & Information Visualization:

3 different Data Visualizations on top of the Council of Europe Open Data Initiative Pilot Project (May 2015)

Introduction: the Council of Europe - Open Data Initiative Pilot Project was specified and implemented by the Semantic Web Company by making use of UnifiedViews (for extraction - transform - load mechanisms of the data from the Council original database) as well as Virtuoso Universal (to store the whole data as RDF triples by making use of RDF Datacube Vocabulary and creating 311,000 RDF Triples, using 23 classes, 45 different predicates and ~18,000 different subjects)

The Council of the EU participates in the EU open data portal with a dataset containing all Council votes on legislative acts since the entry into force of the Lisbon Treaty on 1 December 2009. This dataset is updated daily and provided as Linked Open Data (LOD). The EU open data portal was launched in December 2012. It is a single point of access to a growing range of data from the EU institutions and other EU bodies. The data are free for you to use and reuse for commercial or non-commercial purposes, provided that the source is acknowledged.

For the given visualizations the data is always directly taken from the Council Open Data Initiative API (in the form of a SPARQL endoint). The visuals are realised in JavaScript by making use of D3.JS JavaScript library.

Link: Council of Europe Open Data Initiative, Pilot Project

Link: Council of Europe - Pilot Data Hub

Visualization 1: Council of Europe: Map Visualization

This visualization shows the voting behaviour of the EU28 Members States along the Councils' 21 Policy Areas visualized on a map of Europe. In this example the average of the votes is calculated and as follows a colour code (along the given legend) is assigned along the percentage of the voting behaviour of a country (Abstained - Not participating - Voted against - Voted in favour). Users can select the Policy Area they are interested in to compare the voting behaviour of EU28 countries.

LinkCouncil of Europe: Map Visualization

Visualization 2: Council of Europe: Votes over Time

This visualization shows the voting behavior of all countries over time per policy area (a coloured bubble visualizes a policy area) along the parameter A) number of votes / acts (size of the bubble) B) percentage of votes (y-axis) and Act Type (x-axis). The behavior over time provides an animation whereby the user can control the year by moving the time-slider provided in the bottom right corner of the visualization.

LinkCouncil of Europe: Votes over Time

Visualization 3: Council of Europe: PunchCard

This visualization shows the voting behavior of all countries over time per policy area (a coloured bubble-series visualizes a policy area) shown as a PunchCard. Move your mouse over the Policy Areas to see the numbers of votes per area and select if you would like to see positive or negative voting behaviour on policy areas over time.

LinkCouncil of Europe: PunchCard

Visualization of Scoring - Example: the GBPN Comparism of Renovation Policy Packages

The GBPN - the Global Buildings Performance Network has developed a scoring schema of building policies in 12 regions along 14 scoring criteria - to enable comparism of building renovation policies. The visualization shows complex data of the 14 different scoring criteria for 12 different regions in 1 user-friendly visualization whereby the users are able to select and de-select criteria along their needs, sort the results by region and or score as well as share the scored renovation policy packages to re-use for presentation and/or blogposts. The aim of this visualization is to create awareness about the importance of efficient and sustainable building policies as well as to support users to compare data along theirt needs.

Such a scoring visualization can be created for any bundle of objects that need to be compared and can be scored. In this example the scoring has been applied from 1 up to 10. The whole GBPN Knowledge Platform has been specified and implemented and is maintained by the SWC Data-, Information- and Knowledge Portal Team.

Link: GBPN Renovation Policy Package

PoolParty Visual Mapper: Visualization of Knowledge Graphs & Glossaries - Example: The EIP Water Thesaurus

The European Innovation Partnership on Water (EIP Water) uses a knowledge graph (in the form of a SKOS Thesaurus that is modelled with PoolParty Modeler) to connect knowledge objects in the EIP Water Online Marketplace as well as to provide a Matchmaking feature of demand and supply. This knowledge graph is also visualized by making use of the PoolParty Visual Mapper that makes use of a SPARQL endpoint and visualizes data using JavaScript realised by the D3.JS JavaScript framework. The knowledge model of this example provides a water model that is based on GEMET Thesaurus. The whole EIP Water Online Marketplace has been designed and implemented and is maintained by the SWC Data-, Information- and Knowledge Portal Team.

Link: Visual Mapper of EIP Water Knowledge Graph