A Temporal RDF Model for Multi-grained Time Information Modeling
Haixia Li, Li Yan · 2021
With the rapid increase of temporal data, how to represent and manage temporal data has become a research issue worth digging in. To better represent temporal data, there have been many works on adding the dimension to RDF or other data representations such as relational databases. However, few works pay attention to the problem of updating time information in the form of triple elements in RDF. Note that this not only makes it easy to express that the relationship between entities is effective over a period of time, but also makes it easy to express that the entities themselves are effective in the time. A model of temporal data representation based on RDF is proposed in this paper which not only considering the validity of triples, but also considering the temporal validity of the entities themselves within the triples.