DIVA: An Ontology-based Approach to Model User Activity within Visualization Systems
Résumé
The study of user activity supports evaluation of visualization systems, recommendation of suitable views or tasks, guidance of interaction, and validation of analytical results. It enables researchers to understand how these visualization systems are used and to gain insight into users' reasoning processes during data exploration. However, there is a lack of structured frameworks for systematically collecting and reasoning over such data. In this paper, we build upon Semantic Web standards to model and represent user activity as knowledge graphs. We introduce an OWL ontology specifically designed for this purpose and demonstrate its application by transforming system log data-collected during user studies with a multiview visualization tool for urban mobility data exploration-into an RDF knowledge graph. Finally, we illustrate the utility and expressiveness of our model by enabling intuitive exploration and interpretation of user activity through the implementation of competency questions as SPARQL queries and the visualization of these queries' results on the RDF graph representing user activity.
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