1. Relation discovery in the DBpedia, that is, the path finding between two nodes in graph, in a quick and efficient way
2. Build the links from my dataset to DBpedia or other knowledge bases automatically! with same result as manual work
3. Trust of other’s dataset
4. Linked Data as a new kind of Visualization – Applications are keys
We have all kinds of data, the point is how to use these and to impress the end-user.
There’re already many applications of Linked Data in Data management, e.g. library, transport, crime rate etc., but this is just the first step which could be considered as RDFizing the general datasets and displaying them. The real applications for the general public might be built on this hierarchy. For the end-user, linked data is a black box, but get more meaning from the form of Linked Data than the general ones. That makes sense in terms of the value of Semantic Web.
Some findings from the Digital Engagement 2011:
GetThere – an iPhone app on three rural bus routes in Scotland
Heckling at ontologies – media metadata generation (e.g., BBC video)
Kevin Smith, Drew Hemment and Rachel Cooper.Defining New Directions in Data Visualisation Research: Adaptive Signs
Some other interesting stuff:
ChronoViz – visualization of time-based multimodal data
Voice Your View – crowd-sourcing data shown by Processing (first version looks not very nice & non-interactive)