Visual Exploration of RDF Data

2008 12th International Conference Information Visualisation

2008

There are already several tools available that are capable of visualizing RDF data. The problem with RDF data is that they tend to be very large. To handle the data, the visualizers cannot display the whole data but rather need to use some kind of navigation. We have designed and implemented such visualizer. This paper describes our approach to the navigation, which was designed specifically with the preservation of the user's mental map in mind. We also compare our approach to the other visualizers.

Section: Visualization Of Rdf Datamentioning

confidence: 99%

Section: Existing Approaches To Visual Navigation In Rdfmentioning

confidence: 99%

Navigation in RDF Data

2008 12th International Conference Information Visualisation

2008

“…A few years ago, we developed a RDF visualizer that uses several new techniques, notably triangle layout and node merging [6,3,5]. It is one of the visualizers that display the "pure" RDF data.…”

Section: Triangle Layoutmentioning

confidence: 99%

Visual Representation of Reifications in RDF Visualizer

Yaghob

2009 13th International Conference Information Visualisation

2009

Self Cite

One family of visualization tools for the Semantic web are those that directly display the underlying RDF data. Most of them use the inherent graph structure of RDF data and present the user with some drawing of the graph. While it is usually sufficient to give the user with decent understanding of data, there are some features of RDF that could be used to improve the visualization, for instance the presence of reifications. While they can easily be displayed just like any other part of the RDF graph, their specific properties allow for more advanced processing.

“…the corners of the rectangles can be positioned onto the line L l so that the nodes do not overlap. Several techniques (for example the angle of influence [5]) are used to improve readability of the drawing. They dictate the exact positions of nodes on a layer and also affect the exact value of a radius.…”

Section: Triangle Layoutmentioning

confidence: 99%

Using Clusters in RDF Visualization

2009 Third International Conference on Advances in Semantic Processing

2009

Clustered graph visualization techniques are an easy to understand way of hiding complex parts of a visualized graph when they are not needed by the user. When visualizing RDF, there are several situations where such clusters are defined in a very natural way. Using this techniques, we can give the user optional access to some detailed information without unnecessarily occupying space in the basic view of the data. This paper describes algorithms for clustered visualization used in the Trisolda RDF visualizer. Most notable is the newly added clustered navigation technique.