Demo Data from VLDB 2026 / reviewers in the wild / expert
Lasse Poulsen
dblp:46/5182
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Spatial and temporal data management · 50% Data models and query languages · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Spatial and temporal data management › temporal databases
bitemporal databases |
0.0 | 1 | 2001 | A Split Operator for Now-Relative Bitemporal Databases · ICDE 2001 |
Data models and query languages › temporal data model
temporal relational algebra |
0.0 | 1 | 2001 | A Split Operator for Now-Relative Bitemporal Databases · ICDE 2001 |
Methods — techniques the papers use, named apart from their topics
performance evaluation · 0.0SQL implementation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | A Split Operator for Now-Relative Bitemporal DatabasesabstractThe timestamps of now-relative bitemporal databases are modeled as growing, shrinking or rectangular regions. The shape of these regions makes it a challenge to design bitemporal operators that (a) are consistent with the point-based interpretation of a temporal database, (b) preserve the identity of the argument timestamps, (c) ensure locality and (d) perform efficiently. We identify the bitemporal split operator as the basic primitive to implement a wide range of advanced now-relative bitemporal operations. The bitemporal split operator splits each tuple of a bitemporal argument relation, such that equality and standard nontemporal algorithms can be used to implement the bitemporal counterparts with the aforementioned properties. Both a native database algorithm and an SQL implementation are provided. Our performance results show that the bitemporal split operator outperforms related approaches by orders of magnitude and scales well. Mikkel Agesen, Michael H. Böhlen, Lasse Poulsen, Kristian Torp |
ICDE | 3 |