Audiovisual Analytics Vocabulary and Ontology (AAVO): initial core and example expansion
This provides a foundational resource for researchers and developers in Visual Analytics, though it is incremental as it builds on existing knowledge organization efforts.
The authors tackled the complexity of the Visual Analytics field by proposing an initial organization of its knowledge as an OWL ontology and SKOS vocabulary, resulting in a core conceptualization and example expansion with enhanced expressive power.
Visual Analytics might be defined as data mining assisted by interactive visual interfaces. The field has been receiving prominent consideration by researchers, developers and the industry. The literature, however, is complex because it involves multiple fields of knowledge and is considerably recent. In this article we describe an initial tentative organization of the knowledge in the field as an OWL ontology and a SKOS vocabulary. This effort might be useful in many ways that include conceptual considerations and software implementations. Within the results and discussions, we expose a core and an example expansion of the conceptualization, and incorporate design issues that enhance the expressive power of the abstraction.