Wallas Santos, Reinaldo Mozart Da Gama E Silva, et al.
AIVR 2018
Properly modelling dynamic information that changes over time still is an open issue. Most modern knowledge bases are unable to represent relationships that are valid only during a given time interval. In this work, we revisit a previous extension to the hyperknowledge framework to deal with temporal facts and propose a temporal query language and engine. We validate our proposal by discussing a qualitative analysis of the modelling of a real-world use case in the Oil & Gas industry.
Wallas Santos, Reinaldo Mozart Da Gama E Silva, et al.
AIVR 2018
Guilherme Lima, Rodrigo Costa, et al.
WebMedia 2019
Rodrigo Santos, Francisco Sant Anna, et al.
ISM 2016
Guilherme Lima, Rodrigo Santos, et al.
Journal of Systems Architecture