This work contains the description of a master thesis focused on the development of Sefarad-
2.0. This system is a web based, semantic data browsing and visualization application.
In first place, we analyse the semantic web actual state and its actual growth. We
introduce the need of a software that enables to consult and index its data as well as filter
and render them.
Our starting point is Sefarad 1.0, property of the Intelligent Systems Group GSI 2 . We
analyse its strengths and weaknesses, justifying the development of a new version.
We also present the studied technologies and justify their choice, taking as result a com-
pilation of bleeding edge technologies as Dart and Polymer that assure future developments
We describe in depth the architecture of our final product, as well as we study each of
We list and test each prototype step we have take in this project, providing benchmark
results, comparing their features, describing their operation, architecture and possible devel-
opment alternatives. After that we present the description of the features and architecture
of the final system.
We apply this system to various practical case studies, being the most important be-
tween them SmartOpenData, for which we will develop some concrete widgets and SPARQL
queries so we get an equivalent but improved result to the one achieved with the previous
Sefarad 1.0 framework.
Finally, we present the project conclusions and discuss about future works and possible
applications and extensions.