This was an study started by Nandana and Mariano in 2016. We started with unsupervised methods, but we could not find good clusters. En 2017 we started with annotated data and here we are. ## Summary…
0 datasets, 0 tasks, 0 flows, 0 runs
Paper submitted to ESWC 2018
0 datasets, 0 tasks, 0 flows, 0 runs
We want to predict the type of a DBpedia resource from its structure in the Knowledge graph. our preliminary study concludes that we can achieve it with accuracy above 90%. Paper submitted to ICWE…
0 datasets, 0 tasks, 0 flows, 0 runs
Data prefetching is a standard technique used to accelerate the access to data stores. In the context of SPARQL endpoints, previous approaches have been based on two main techniques: (1) query…
3 datasets, 3 tasks, 0 flows, 5 runs