Abstract
Visual analytics has been important for many data-driven applications in modern industries.However, there has been limited research of semantic technologies for visual analytics, which hamstrings its transparency and reusability. To this end, we propose a semantic system that encodes visual analytical solutions in reusable knowledge graphs, which can be translated to executable scripts. Further more, our approach incorporates domain knowledge such as feature type information by linking domain ontologies and visual ontology. This poster paper presents preliminary evaluation of our approach with a Bosch use case with promising results.