Temporal database systems are designed to capture and manage data that varies over time, thereby accommodating historical and time‐sensitive information. These systems integrate temporal dimensions ...

Many types of data change over time, and different users and applications have requirements to access data at different points in time. A traditional DBMS stores data that is implied to be valid at ...

Timescale is looking to further advance its namesake open-source database platform with new AI capabilities announced today. Timescale was founded in 2017 as a time series database (TSDB) technology ...

The demands of today’s world seep into every facet of life; in terms of the enterprise, these demands dictate how modern applications should be developed, run, and maintained. Though the ideal app is ...

Dr. Wu’s primary interests are in temporal databases, the semantic web, knowledge representation, and data science. Most of his research has been in extending the Resource Description Framework (RDF) ...

The importance of spatio-temporal data has increased significantly in various scientific fields, such as climate research, biodiversity, and the social sciences, primarily due to improvements in data ...