Data visualisation and storytelling techniques help experts highlight relations between data and share complex information with a broad audience. However, existing solutions targeted to Linked Open Data visualisation have several restrictions and lack the narrative element. In this article we present MELODY, a web interface for authoring data stories based on Linked Open Data. MELODY has been designed using a novel methodology that harmonises existing Ontology Design and User Experience methodologies (eXtreme Design and Design Thinking), and provides reusable User Interface components to create and publish web-ready article-alike documents based on data retrievable from any SPARQL endpoint. We evaluate the software by comparing it with existing solutions, and we show its potential impact in projects where data dissemination is crucial.

翻译：数据可视化与叙事技术有助于专家突出数据间的关系，并与广大受众分享复杂信息。然而，现有针对关联开放数据可视化的解决方案存在若干局限性，且缺乏叙事元素。本文介绍了MELODY——一个基于关联开放数据创作数据故事的网络界面。MELODY采用了一种新颖的方法论设计，该方法将现有的本体设计与用户体验方法论（极限设计与设计思维）相协调，并提供了可复用的用户界面组件，用于创建和发布基于任意SPARQL端点可检索数据的网页化类文章文档。我们通过将本软件与现有解决方案进行比较来评估其性能，并展示其在数据传播至关重要的项目中的潜在影响力。