Linked Geospatial Data: Interactive Visualization for Exploration
Linked Data Visualization Model ecosystem, which allows to dynamically connect datasets with visualizations. (from Brunetti et al., 2012)Objective:
Keywords:
Sample analyzers and visualizers (from Klímek et al., 2014)Description:
Linked Data sets are voluminous and often have complex structures. A dataset can contain many (thousands) types of objects (feature types) with multiple geometries and attributes (e.g., DBpedia http://dbpedia.org/). Interactive exploration of such data is complicated: visualizations became very complex and cluttered due to the amount and interconnectivity of data.
However, Linked Data uses ontologies for structuring and categorizing resources, therefore, it is possible to use semantic generalization, summarization and clustering in order to improve UX/UI. The question is up to what extent and how these methods can improve interactive exploration of the data content.
References:
Mazumdar, S., Petrelli, D., Elbedweihy, K., Lanfranchi, V., & Ciravegna, F. (2015). Affective graphs: The visual appeal of Linked Data. Semantic Web, 6(3), 277-312.
Dadzie, A. S., & Rowe, M. (2011). Approaches to visualising linked data: A survey. Semantic Web, 2(2), 89-124.
Brunetti, J. M., Auer, S., García, R., Klímek, J., & Nečaský, M. (2013, December). Formal linked data visualization model. In Proceedings of International Conference on Information Integration and Web-based Applications & Services (p. 309). ACM.
