The growing trends in automation, Internet of Things, big data and cloud
computing technologies have led to the fourth industrial revolution (Industry
4.0), where it is possible to visualize and identify patterns and insights,
which results in a better understanding of the data and can improve the
manufacturing process. However, many times, the task of data exploration
results difficult for manufacturing experts because they might be interested in
analyzing also data that does not appear in pre-designed visualizations and
therefore they must be assisted by Information Technology experts. In this
paper, we present a proposal materialized in a semantic-based visual query
system developed for a real Industry 4.0 scenario that allows domain experts to
explore and visualize data in a friendly way. The main novelty of the system is
the combined use that it makes of captured data that are semantically annotated
first, and a 2D customized digital representation of a machine that is also
linked with semantic descriptions. Those descriptions are expressed using terms
of an ontology, where, among others, the sensors that are used to capture
indicators about the performance of a machine that belongs to a Industry 4.0
scenario have been modeled. Moreover, this semantic description allows to:
formulate queries at a higher level of abstraction, provide customized
graphical visualizations of the results based on the format and nature of the
data, and download enriched data enabling further types of analysis.

基于语义的可视化查询系统在第四工业革命（工业 4.0）中的应用，该系统利用自定义数字化表示的机器和语义描述来实现对数据的探索和可视化，提供更高层次的抽象查询、基于数据格式和性质的定制图形可视化结果以及下载丰富数据以进行进一步的分析。