Knowledge Graph Modularization

Modularization can be defined as the task of decomposing a knowledge graph into independent disjoint modules, splitting it considering modules size, number of modules and modules interconnectedness.

Accordingly, knowledge graph modularization should address the following criteria:

a) Facilitate reutilization, and evolution of knowledge graphs.

b) Maintain reasoning efficiency.

c) Keep the balance between robustness and maintainability.

d) Enable distribution of knowledge in open networks.

e) Support connectedness of modules

Our research group is focused on the development and adaptation of novel metods and techniques derived from research areas such as knowledge engineering, natural language processing and artificial intelligence; to apply them in the development of applications for the health care of Mexicans. Considering specifically the difficulties of communication, connection to networks and difficulties for the use of mobile devices.