Audiovisual Analytics Vocabulary and Ontology (AAVO): initial core and example expansion

TL;DR

This paper introduces an initial ontology and vocabulary for audiovisual analytics, aiming to organize the complex, multidisciplinary knowledge in visual analytics to facilitate better conceptual understanding and software development.

Contribution

It presents the first core ontology and vocabulary for audiovisual analytics, including an example expansion and design considerations to improve expressiveness.

Findings

Developed an OWL ontology and SKOS vocabulary for visual analytics

Provided a core and expanded conceptualization example

Enhanced the expressive power of the abstraction

Abstract

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.