Using RDF Data Cube Vocabulary to model sales data with Fluent Editor - Example.

RDF Data Cube Vocabulary is a way to represent data in popular format with link data paradigms. Linked data is an approach to publishing data on a web and this vocabulary makes it possible. There are numerous benefits to linked data. The individual observations, and groups of observations, become (web) addressable. This allows publishers ad third parties to annotate and link to this data. For example a report can reference the specific figures it is based on allowing for fine grained provenance trace-back. Representing any data set with these benefits is now possible with Controlled Natural Language in Fluent Editor and it has never been so easy.

How to explore SPARQL endpoint?

In this article you will learn: - how to explore SPARQL endpoint with Ontorion™ SPARQL Tools for Excel - about SPARQL autocomplete tool from Cognitum

Ontorion™ SPARQL Tools for Excel latest release offers two new features enriching the SPARQL experience. First one is Explore SPARQL endpoint tool, which enables to get a quick overview of the data content of the endpoint. Second is SPARQL autocomplete tool, which guides user throughout writing the query with intelligent autocomplete hints.

Motivation

A growing amount of data is made public via SPARQL endpoints. You can explore the data by asking SPARQL queries. One of the most famous SPARQL endpoints is DBpedia - a semantic version of Wikipedia. Many public institutions expose some of their data in such an open way as well. A good example is The Environment Agency of England and Wales, which publishes data about bathing water quality .
The basic building block of SPARQL data set is a triple. It is a statement of the form subject-predicate-object. Apart from that, the structure of the data can be quite loosely defined. Thus it may sometimes be difficult to explore a new SPARQL endpoint for the first time.