What’s New in Temporal Databases?
Abstract. Temporal databases has been an active research area since many decades, ranging from research work on query processing, most dominantly on selection and join queries, to new directions in models and semantics, such as for instance temporal probabilistic or streaming data. At the same time more database vendors have been integrating temporal features into their systems, most notably, the temporal features of the SQL standard. In this tutorial, we summarize the latest research developments as presented in 30 research papers over the last five years in the context of temporal relational databases. Additionally, we also describe the developments of industrial database systems and vendors.
Bio. Johann Gamper is full professor and head of the database systems group at the Free University of Bozen-Bolzano, where since 2018 he serves as Vice-Rector for Research. He has a MSc degree in Computer Science from the TU Vienna (1989) and a PhD degree from the RWTH Aachen (1996). His research concentrates on database technologies for advanced query processing and data analytics, with a specific focus on temporal data, time series, and graphs. Many of his research activities emerged from collaborations with different application domains, such as industry, agriculture, medicine, public administration, and tourism. Johann Gamper is author of 120+ publications in international journals and conference proceedings, including the most prestigious outlets of the database community (TODS, VLDBJ, TKDE, SIGMOD, VLDB, ICDE). He regularly serves as reviewer for technical journals, PC member, and organizer of conferences.