Big data platforms have predominantly focused on the volume aspects of large-scale data
management. The growing pervasiveness of Internet of Things (IoT) applications, along with …

We propose a new probabilistic extension to the event calculus using the probabilistic logic
programming (PLP) language ProbLog, and a language construct called the annotated …

Symbolic event recognition systems often rely on knowledge bases of event definitions,
expressed in first-order logic, to detect event occurrences over time. Logical frameworks for …

The objective of this paper is to review the state-of-the-art of statistical relational learning
(SRL) models developed to deal with machine learning and data mining in relational …

ABSTRACT Complex Event Recognition is the subdivision of Artificial Intelligence that aims
to design and construct systems that quickly process large and often heterogeneous streams …