Exploring user and system requirements of linked data visualization through a visual dashboard approach

One of the open problems in Semantic Web research is which tools should be provided to users to explore linked data. This is even more urgent now that massive amount of linked data is being released by governments worldwide. The development of single dedicated visualization applications is increasing, but the problem of exploring unknown linked data to gain a good understanding of what is contained is still open. An effective generic solution must take into account the user's point of view, their tasks and interaction, as well as the system's capabilities and the technical constraints the technology imposes. This paper is a first step in understanding the implications of both, user and system by evaluating our dashboard-based approach. Though we observe a high user acceptance of the dashboard approach, our paper also highlights technical challenges arising out of complexities involving current infrastructure that need to be addressed while visualizing linked data. In light of the findings, guidelines for the development of linked data visualization and manipulation are provided.

[1]  R. Likert “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[2]  Tommaso Di Noia,et al.  Semantic Wonder Cloud: Exploratory Search in DBpedia , 2010, ICWE Workshops.

[3]  Stephanie Boehm,et al.  Information Dashboard Design The Effective Visual Communication Of Data , 2016 .

[4]  Austin Henderson,et al.  Interaction design: beyond human-computer interaction , 2002, UBIQ.

[5]  Yvonne Rogers,et al.  Interaction Design: Beyond Human-Computer Interaction , 2002 .

[6]  Eero Hyvönen,et al.  MuseumFinland - Finnish museums on the semantic web , 2005, J. Web Semant..

[7]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[8]  David R. Karger,et al.  Exhibit: lightweight structured data publishing , 2007, WWW '07.

[9]  Daniela Petrelli,et al.  Multi Visualization and Dynamic Query for Effective Exploration of Semantic Data , 2009, SEMWEB.

[10]  Lydia B. Chilton,et al.  Tabulator: Exploring and Analyzing linked data on the Semantic Web , 2006 .

[11]  Benjamin Nowack,et al.  Paggr: Linked Data widgets and dashboards , 2009, J. Web Semant..

[12]  David R. Karger,et al.  Piggy Bank: Experience the Semantic Web Inside Your Web Browser , 2005, International Semantic Web Conference.

[13]  J. P. Grime Vegetation classification by reference to strategies , 1974, Nature.

[14]  Monica M. C. Schraefel,et al.  mSpace: improving information access to multimedia domains with multimodal exploratory search , 2006, CACM.

[15]  Christopher Williamson,et al.  Dynamic queries for information exploration: an implementation and evaluation , 1992, CHI.

[16]  Jeffrey Heer,et al.  A Tour through the Visualization Zoo , 2010 .

[17]  Jeffrey Heer,et al.  A tour through the visualization zoo , 2010, ACM Queue.

[18]  Lynda Hardman,et al.  /facet: A Browser for Heterogeneous Semantic Web Repositories , 2006, SEMWEB.