Towards Data Visualisation Based on Conceptual Modelling

摘要：

　　Selecting data,transformations and visual encodings in current data visualisation tools is undertaken at a relatively low level of abstraction-namely,on tables of data-and ignores the conceptual model of the data.Domain experts,who are likely to be familiar with the conceptual model of their data,may find it hard to understand tabular data representations,and hence hard to select appropriate data transformations and visualisations to meet their exploration or question-answering needs.We propose an approach that addresses these problems by defining a set of visualisation schema patterns that each characterise a group of commonly-used data visualisations,and by using knowledge of the conceptual schema of the underlying data source to create mappings between it and the visualisation schema patterns.To our knowledge,this is the first work to propose a conceptual modelling approach to matching data and visualisations.

作者: Peter McBrien Alexandra Poulovassilis

作者单位: Department of Computing, Imperial College,180 Queens Gate, London SW7 2BZ, UK Birkbeck Knowledge Lab,Birkbeck,University of London,Malet Street,London WC1E 7HX,UK

会议类型: 国际会议

会议名称: The 37th International Conference on Conceptual Modeling(第37届概念建模国际会议(ER2018)

会议地点: 西安

会议语种:英文

页码: 91-99

在线出版日期: 2018-10-22（万方平台首次上网日期，不代表论文的发表时间）