Archive for the ‘RDF Data Cube Vocabulary’ Category

RDF Data Cube Vocabulary [Last Call ends 08 April 2013]

Tuesday, March 12th, 2013

RDF Data Cube Vocabulary

Abstract:

There are many situations where it would be useful to be able to publish multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The Data Cube vocabulary provides a means to do this using the W3C RDF (Resource Description Framework) standard. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.

If you have comments, now would be a good time to finish them up for submission.

I first saw this in a tweet by Sandro Hawke.

New draft standard XKOS developed at Dagstuhl workshop

Saturday, November 17th, 2012

New draft standard XKOS developed at Dagstuhl workshop

From the post:

The AIMS team as part of its work in promoting good practices in information management participated in the development of the new draft standard XKOS at the Dagstuhl workshop “Semantic Statistics for Social, Behavioural, and Economic Sciences: Leveraging the DDI Model for the Linked Data Web” in Wadern, Germany, October 15-19, 2012. XKOS is an extension to the popular Simple Knowledge Organization System (SKOS), a W3C Recommendation, to meet the needs of classification schemes.

Improving visibility & discoverability of statistical data

XKOS is designed to facilitate the interoperability of micro and macro data both within and without the statistics domain and to be complementary to existing standards such as SDMX, DDI and RDF Data Cube. This proposed extension to SKOS may well become the basis for improving the visibility and discoverability of statistical data on the semantic web as well as a mechanism to maintain and disseminate classification schemes according to a standard, cross-domain, machine-readable format.

Acronym Safety Zone:

SDMX – Statistical Data and Metadata eXchange

Data Documentation Initiative

RDF Data Cube

Apologies but I was unable to find a draft of XKOS for a link. Do be aware that is also the acronym for the Korean stock exchange. ;-)

Statistical Data and Metadata eXchange (SDMX)

Friday, April 20th, 2012

Statistical Data and Metadata eXchange (SDMX)

SDMX is the core information model that informs the vocabulary of the RDF Data Cube Vocabulary.

It isn’t clear in working draft of 05 April 2011, which version of the SDMX materials informs the RDF Data Cube Vocabulary work.

You may also be interested in SDMX pages on domains where statistical work is ongoing, implementations and tools.

On SDMX in general:

SDMX 2.1 Technical Specification

Section 1 – Framework. Introduces the documents and the content of the revised Version 2.1

Section 2 – Information Model. UML model and functional description, definition of classes, associations and attributes

Section 3A – SDMX_ML. Specifies and documents the XML formats for describing structure, data, reference metadata, and interfaces to the registry

Section 3B – SDMX-ML. XML schemas, samples, WADL and WSDL (update: 12 May 2011)

Section 4 – SDMX-EDI. Specifies and documents the UN/EDIFACT format for describing structure and data.

Section 5 – Registry Specification – Logical Interfaces. Provides the specification for the logical registry interfaces, including subscription/notification, registration of data and metadata, submission of structural metadata, and querying

Section 6 – Technical Notes. Provides some technical information which may be useful for the implementation (this was called “Implementor’s Guide” in the 2.0 release)

Section 7 – Web Services Guidelines. Provides guidelines for using SDMX standards to promote interoperability among SDMX web services

ZIP file of all the documents: SDMX 2.1 ALL SECTIONS

And SDMX concepts:

The SDMX Content-Oriented Guidelines recommend practices for creating interoperable data and metadata sets using the SDMX technical standards. They are intended to be applicable to all statistical subject-matter domains. The Guidelines focus on harmonising specific concepts and terminology that are common to a large number of statistical domains. Such harmonisation is useful for achieving an even more efficient exchange of comparable data and metadata, and builds on the experience gained in implementations to date.

Content-Oriented Guidelines

The Guidelines are supplemented by five annexes:

Annex 1 – Cross-Domain Concepts
Annex 2 – Cross-Domain Code Lists
Annex 3 – Statistical Subject-Matter Domains
Annex 4 – Metadata Common Vocabulary
Annex 5 – SDMX-ML for Content-Oriented Guidelines (zip file)

Additional information is provided in the following files:

  1. Mapping of SDMX Cross-Domain Concepts to metadata frameworks at international organisations (IMF-Data Quality Assessment Framework, Eurostat-SDMX Metadata Structure and OECD-Metastore)
  2. Use of Cross-Domain Concepts in Data and Metadata Structure Definitions
  3. A disposition log of comments and suggestions directly received by the SDMX Secretariat.

The RDF Data Cube Vocabulary

Monday, April 16th, 2012

The RDF Data Cube Vocabulary

A new draft from the W3C, adapting existing data cube vocabularies into an RDF representation.

The proposal re-uses several other vocabularies that I will be covering separately.

There are several open issues so read carefully.


What do you make of: The RDF Data Cube Vocabulary? I haven’t run diffs on it, yet.