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

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Publications

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News

AKSW Colloquium, 18-05-2015, Multilingual Morpheme Ontology, Personalised Access and Enrichment of Linked Data Resources ( 2015-05-17T12:24:52+02:00 by Dr. Amrapali Zaveri)

2015-05-17T12:24:52+02:00 by Dr. Amrapali Zaveri

MMoOn – A Multilingual Morpheme Ontology by Bettina Klimek In the last years a rapid emergence of lexical resources evolved in the Semantic Web. Read more about "AKSW Colloquium, 18-05-2015, Multilingual Morpheme Ontology, Personalised Access and Enrichment of Linked Data Resources"

AKSW Colloquium, 11-05-2015, DBpedia distributed extraction framework ( 2015-05-10T18:36:42+02:00 by Nilesh Chakraborty)

2015-05-10T18:36:42+02:00 by Nilesh Chakraborty

Scaling up the DBpedia extraction framework by Nilesh Chakraborty The DBpedia extraction framework extracts different kinds of structured information from Wikipedia to generate various datasets. Performing a full extraction of Wikipedia dumps of all languages (or even just the mapping-based languages) takes a significant amount of time. Read more about "AKSW Colloquium, 11-05-2015, DBpedia distributed extraction framework"

Invited talk @AIMS webinar series ( 2015-05-08T12:47:00+02:00 by Dr. Amrapali Zaveri)

2015-05-08T12:47:00+02:00 by Dr. Amrapali Zaveri

On 5th of May Ivan Ermilov on behalf of AKSW presented CKAN data catalog as a part of AIMS (Agricultural Information Management Standards) webinar series. Read more about "Invited talk @AIMS webinar series"

AKSW Colloquium, 04-05-2015, Automating RDF Dataset Transformation and Enrichment, Structured Machine Learning in Life Science ( 2015-05-03T21:50:38+02:00 by Mohamed Sherif)

2015-05-03T21:50:38+02:00 by Mohamed Sherif

Automating RDF Dataset Transformation and Enrichment by Mohamed Sherif With the adoption of RDF across several domains, come growing requirements pertaining to the completeness and quality of RDF datasets. Read more about "AKSW Colloquium, 04-05-2015, Automating RDF Dataset Transformation and Enrichment, Structured Machine Learning in Life Science"

AKSW Colloquium, 27-04-2015, Ontotext’s RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform via & Knowledge-Based Trust ( 2015-04-23T17:21:00+02:00 JoergUnbehauen)

2015-04-23T17:21:00+02:00 JoergUnbehauen

This colloquium features two talks. First the Self-Service Semantic Suite (S4) platform is presented by Marin Dimitrov (Ontotext), followed up by Jörg Unbehauens report on Googles effort on using factual correctness as a ranking factor. Read more about "AKSW Colloquium, 27-04-2015, Ontotext’s RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform via & Knowledge-Based Trust"