Despite the ubiquity of temporal data and considerable research on the effective and
efficient processing of such data, database systems largely remain designed for processing …

Technology is constantly changing; what is cutting edge today is obsolete tomorrow. In this
ever-evolving environment, educators, researchers and professionals of the discipline need …

Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the
collective management of evolving knowledge. The present work aims to provide an …

Each tuple in a valid-time relation includes an interval attribute T that represents the tuple's
valid time. The overlap join between two valid-time relations determines all pairs of tuples …

Many databases contain temporal, or time-referenced, data and use intervals to capture the
temporal aspect. While SQL-based database management systems (DBMSs) are capable of …

Graph representations underlie many modern computer applications, capturing the structure
of such diverse networks as the Internet, personal associations, roads, sensors, and …

Probabilistic models involving relational and temporal aspects need exact and efficient
inference algorithms. Existing approaches are approximative, include unnecessary …

In databases with time interval attributes, query processing techniques that are based on
sort-merge or sort-aggregate deteriorate. This happens because for intervals no total order …

Temporal annotations of facts are a key component both for building a high-accuracy
knowledge base and for answering queries over the resulting temporal knowledge base …

Joins are essential and potentially expensive operations in database management systems.
When data is associated with time periods, joins commonly include predicates that require …