Multimedia Search and Temporal Reasoning
This work addresses a domain-specific need for temporal reasoning in knowledge bases, particularly for industries like Oil & Gas, but appears incremental as it builds on a previous extension.
The authors tackled the problem of representing time-varying relationships in knowledge bases by extending the hyperknowledge framework with a temporal query language and engine, validating it through qualitative analysis of an Oil & Gas industry use case.
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.