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

Current Team

Publications

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News

AKSW Colloquium: Tommaso Soru and Martin Brümmer on Monday, March 2 at 3.00 p.m. ( 2015-02-27T13:57:27+01:00 by Amrapali Zaveri)

2015-02-27T13:57:27+01:00 by Amrapali Zaveri

On Monday, 2nd of March 2015, Tommaso Soru will present ROCKER, a refinement operator approach for key discovery. Martin Brümmer will then present NIF annotation and provenance – A comparison of approaches. Read more about "AKSW Colloquium: Tommaso Soru and Martin Brümmer on Monday, March 2 at 3.00 p.m."

AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m. ( 2015-02-19T22:53:47+01:00 TommasoSoru)

2015-02-19T22:53:47+01:00 TommasoSoru

On Monday, 23rd of February 2015, Edgard Marx will introduce Smart, a search engine designed over the Semantic Search paradigm; subsequently, Tommaso Soru will present ROCKER, a refinement operator approach for key discovery. EDIT: Tommaso Soru’s presentation was moved to March 2nd. Read more about "AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m."

Call for Feedback on LIDER Roadmap ( 2015-02-17T15:38:54+01:00 by Amrapali Zaveri)

2015-02-17T15:38:54+01:00 by Amrapali Zaveri

The LIDER project is gathering feedback on a roadmap for the use of Linguistic Linked Data for content analytics.  We invite you to give feedback in the following ways: Attend and discuss with us at the public conference call on 19 February 3 p.m. Read more about "Call for Feedback on LIDER Roadmap"

AKSW Colloquium: Konrad Höffner and Michael Röder on Monday, February 16, 3.00 p.m. ( 2015-02-16T13:45:51+01:00 by Konrad Höffner)

2015-02-16T13:45:51+01:00 by Konrad Höffner

CubeQA—Question Answering on Statistical Linked Data by Konrad Höffner Abstract Question answering systems provide intuitive access to data by translating natural language queries into SPARQL, which is the native query language of RDF knowledge bases. Statistical data, however, is structurally very different from other data and cannot be queried using existing approaches. Read more about "AKSW Colloquium: Konrad Höffner and Michael Röder on Monday, February 16, 3.00 p.m."

Kick-off of the FREME project ( 2015-02-16T12:50:49+01:00 by Amrapali Zaveri)

2015-02-16T12:50:49+01:00 by Amrapali Zaveri

Hi all ! A new InfAI project, FREME, kicked off in Berlin. FREME – Open Framework of E-Services for Multilingual and Semantic Enrichment of Digital Content is an H2020 funded project with the objective of building an open, innovative, commercial-grade framework of e-services for multilingual and semantic enrichment of digital content. Read more about "Kick-off of the FREME project"