Knowledge Bases Enrichment with Temporal Reasoning Using Hyperknowledge

Abstract

There are several methods and models for structuring knowledge information. However, how to properly model 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. They usually rely on RDF, whose subject-predicate-object data model hinders the specification of temporal aspect of facts. In this work, we approach this issue by using the hyperknowledge model. We discuss our proposal of using this model for representing relationships that hold only during specific temporal intervals. By using this approach, one can enrich knowledge bases with temporal information, promoting the specification of dynamic information.