Skip to main content
. 2015 Feb 7;16(1):40. doi: 10.1186/s12859-015-0469-4

Figure 1.

Figure 1

HyQue system architecture. HyQue takes as input a hypothesis and a set of SPIN rules, which is executed over a knowledge base, composed of data and ontologies. The hypothesis triggers SPIN rules that retrieve and evaluate relevant data. HyQue produces as output an evaluation including the overall hypothesis score and the individual data contribution scores, as well as links to the SPIN rules used.