ICT Tools for statistical linked open data: the OpenCube toolkit E. - - PowerPoint PPT Presentation

NTTS 2015, Brussels, 10-12 March 2015

ICT Tools for statistical linked open data: the OpenCube toolkit

• E. Tambouris, E. Kalampokis, K. Tarabanis

University of Macedonia and ITI-CERTH, Greece {tambouris, ekal, kat}@uom.gr

• Open Statistical Data are very important for the EU
• Users frequently want to blend & combine statistical data

from multiple sources

• But, these data usually resides in files and databases

(data silos) that are hard to combine

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Problem definition

• Linked Data (LD) technology has the potential to enable combining and performing

analytics on top of disparate and previously isolated statistical data

• However, relevant tools are few, scattered and un-tested under real-life conditions

Potential of using LD in statistical data analysis unexploited

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The OpenCube project

• OpenCube is a 2-year project funded by the EU within FP7
• The project aims to develop and test processes and tools for managing statistical

linked open data.

• The results will:
• Facilitate data publishers to create linked data cubes from legacy formats
• Empower data users to browse, visualise, link, expand and analyse data cubes.
• Enable analysis not possible before (merging data cubes at a Web scale)

• We propose a lifecycle for statistical

LD

• The lifecycle is divided into two

phases: publish and reuse (or consume)

• The lifecycle prescribes the steps that

raw data cubes* should go through in

• rder to create value.
• OpenCube also develops tools to

support the whole lifecycle of linked statistical data.

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Linked Statistical Data Lifecycle

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* We assume statistical data is organized as data cubes, where each cell contains a measure described based on a number of dimensions.

• Publishing components
• TARQL extension
• D2RQ /R2RML-QB extension
• JSON-stat
• Grafter
• Consuming components
• OpenCube Browser
• OpenCube MapView
• R Analysis Chart
• Linking components

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OpenCube Toolkit

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• Developed using Information

Workbench open source as underlying linked data management platform

• License scheme
• OpenCube components are

provided under open source licenses

• Check http://opencube-toolkit.eu
• But, commercial solutions are also
• ffered by consortium members

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Publishing Components

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Consume: OpenCube browser

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Summarize observations across a dimension (dimension reduction) Change the axes

• f the table

Change the language Change the fixed values

• It enables the

exploration of an RDF data cube by presenting a two- dimensional slice of the cube as a table.

• The slice is created by

setting a fixed values for each dimension that is not presented in the table.

• Visualization of RDF data

cubes on a map.

• It supports:
• Markers
• Bubble
• Choropleth maps

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Consume: OpenCube MapView

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• Visualisation of analysis results (charts & tables)
• Reuse of analysis results: preserving R output as linked data

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Consume: Integration with R

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Consume: Other Visualizations

Analytics and Reporting Visualization and Exploration Stock chart

• Enables Performing analytics on top of combined data cubes
• Steps:

1. Select a data cube 2. Discover cubes on the Web of Linked Data having compatible structure; i.e. cubes with dimensions, measures etc. that can expand the initial cube 3. Create expanded views of the initial cube 4. Consume the new cube(s)

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Linking Statistical Data

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Example: Start with an initial cube

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Example: Discover & Select compatible cubes

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Example: Browse an expanded view of the initial cube

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• Open Statistical data are rapidly increasing due to Open Data policies
• Linked Data technologies can provide web-scale linking and analysis of statistical

data

• OpenCube project develops processes and tools for statistical data management
• These can be divided into:
• Tools for producing linked open statistical data
• Tools for linking (expanding) open statistical data
• Tools for consuming linked open statistical data
• Practical use of the tools is possible in the NTTS 2015 satellite workshop session

21B on Linked Statistics (today 18:00-20:00)

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Conclusions

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• For more information
• http://opencube-project.eu
• http://opencube-toolkit.eu

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Questions?

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• OpenCube consortium