Table2qb (pronounced 'table to cube') is designed for representation of statistical data as Linked Data, using the RDF Data Cube Vocabulary. It is aimed at users who understand statistical data and are comfortable with common data processing tools, but it does not require programming skills or detailed knowledge of RDF.
Choices of predicates and URI design are encapsulated in a configuration file that can be prepared once and used for all datasets in a collection.
Table2qb separates out the three main aspects of data in a data-cube structure: the observations, components (dimensions, measures, attributes) and the codelists that define possible values of the components.
The input to table2qb takes the form of a CSV file in the 'tidy data' structure. The interpretation of the columns in the input data is defined by the configuration file and follows set conventions, described in more detail below.
The implementation makes use of the W3C Tabular Data and Metadata on the Web standards, in particular csv2rdf. It incorporates this open source csv2rdf processing library. Behind the scenes there is a two step process, first converting the defined tabular inputs into an updated table and accompanying JSON metadata as defined by the csv2rdf standard, then using the standard csv2rdf processor to create the final outputs. A future version of table2qb will allow the option of outputting the JSON metadata and accompanying table for the csv2rdf representation.
The output of table2qb is RDF in Turtle format. Future versions will allow alternative RDF serialisations as an option.
Download the release from https://github.com/Swirrl/table2qb/releases.
Currently the latest is 0.3.0.
Once downloaded, unzip. The main 'table2qb' executable is in the directory ./target/table2qb-0.3.0 You can add this directory to your PATH environment variable, or just run it with the full file path on your system.
To get help on the available commands, type table2qb help.
To see the available pipelines (described in more detail below), type table2qb list.
To see the required command structure for one of the pipelines (for example the cube-pipeline), type table2qb describe cube-pipeline
Clojure now distributes clojure and cli command-line programs for running clojure programs. To run table2qb through the clojure command, first
install the Clojure CLI tools. Then create a file deps.edn containing the following:
deps.edn
{:deps {swirrl/table2qb {:git/url "https://github.com/Swirrl/table2qb.git"
:sha "8c4b22778db0c160b06f2f3b0b3df064d8f8452b"}
org.apache.logging.log4j/log4j-api {:mvn/version "2.11.0"}
org.apache.logging.log4j/log4j-core {:mvn/version "2.11.0"}
org.apache.logging.log4j/log4j-slf4j-impl {:mvn/version "2.11.0"}}
:aliases
{:table2qb
{:main-opts ["-m" "table2qb.main"]}}}You can then run table2qb using
clojure -A:table2qb
More details about the clojure CLI and the format of the deps.edn file can be found on the Clojure website
Table2qb is written in Clojure and can be built using Leiningen. It is recommended you use Java 8 or later.
table2qb can be run through leiningen with lein run e.g.
lein run list
Alternatively it can be run from an uberjar built with lein uberjar. The resulting .jar file in the target directory can then be run:
java -jar target/table2qb.jar list
See using table2qb for documentation on how to generate RDF data cubes using table2qb.
The ./examples/employment directory provides an example of creating a data cube from scratch with table2qb.
Copyright © 2018 Swirrl IT Ltd.
Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.
The development of table2qb was funded by Swirrl, by the UK Office for National Statistics and by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 693849 (the OpenGovIntelligence project).