CubeViz: The RDF DataCube Browser.

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CubeViz is a facetted browser for statistical data utilizing the RDF Data Cube vocabulary which is the state-of-the-art in representing statistical data in RDF. This vocabulary is compatible with SDMX and increasingly being adopted. Based on the vocabulary and the encoded Data Cube, CubeViz is generating a facetted browsing widget that can be used to filter interactively observations to be visualized in charts. Based on the selected structure, CubeViz offer beneficiary chart types and options which can be selected by users.

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In order to hide the complexity of the RDF Data Cube vocabulary from users and to facilitate the browsing and exploration of DataCubes we developed the RDF DataCube browser CubeViz. CubeViz can be divided into two parts, both developed as an extension of OntoWiki:

  1. Faceted data selection component, which queries the structural part of a selected RDF graph containing DataCube resources.
  2. Chart visualization component, which queries observations (selected by the faceted selection component) and visualize them with suitable charts.

CubeViz renders facets according to the DataCube vocabulary to select data on the first component, using SPARQL as the query language. Currently, the following facets are available:

  1. Selection of a DataCube DataSet
  2. Selection of a DataCube Slice
  3. Selection of a specific measure and attribute (unit) property encoded in the respective DataCube dataset.
  4. Selection of a set of dimension elements that are part of the dimensions encoded in the respective DataCube data set

Project Team

Publications

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News

AKSW Colloquium, 25.04.2016, DISPONTE, Workbench for Big Data Dev ( 2016-04-22T16:05:08+02:00 by Mohamed Sherif)

2016-04-22T16:05:08+02:00 by Mohamed Sherif

In this colloquium, Frank Nietzsche will present his master thesis titled “Game Theory- distributed solving” Game theory analyzes the behavior of individuals in complex situations. One popular game in Europe and North America with such a complex situation is Skat. Read more about "AKSW Colloquium, 25.04.2016, DISPONTE, Workbench for Big Data Dev"

AKSW Colloquium, 18.04.2016, DISPONTE, Workbench for Big Data Dev ( 2016-04-18T10:17:10+02:00 by Patrick Westphal)

2016-04-18T10:17:10+02:00 by Patrick Westphal

In this week’s Colloquium, today 18th of April at 3 PM, Patrick Westphal will present the paper ‘Probabilistic Description Logics under the Distribution Semantics‘ by Riguzzi et. al. Abstract Representing uncertain information is crucial for modeling real world domains. Read more about "AKSW Colloquium, 18.04.2016, DISPONTE, Workbench for Big Data Dev"

AKSW Colloquium, 11.04.2016, METEOR with DBnary ( 2016-04-11T09:07:18+02:00 by Ricardo Usbeck)

2016-04-11T09:07:18+02:00 by Ricardo Usbeck

In this week’s Colloquium, today 11th of April at 3 PM, Diego Moussallem will present the paper by Zied Elloumi et al. titled “METEOR for Multiple Target Languages using DBnary.” [PDF]. Read more about "AKSW Colloquium, 11.04.2016, METEOR with DBnary"

AKSW Colloquium, 04.04.2016, AMIE + Structured Feedback ( 2016-04-04T13:51:45+02:00 by Lorenz Bühmann)

2016-04-04T13:51:45+02:00 by Lorenz Bühmann

In this week’s Colloquium, today 4th of April at 3 PM, Lorenz Bühmann will present the paper by Galárraga et al. titled “AMIE: Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases.” [PDF]. Read more about "AKSW Colloquium, 04.04.2016, AMIE + Structured Feedback"

International Semantic Web Community meets in Leipzig, Sept. 12-15, 2016 ( 2016-03-29T11:40:27+02:00 Sandra Bartsch)

2016-03-29T11:40:27+02:00 Sandra Bartsch

At the annual SEMANTiCS Conference, experts from academia and industry meet to discuss semantic computing, its benefits and future business implications. Read more about "International Semantic Web Community meets in Leipzig, Sept. 12-15, 2016"