The main purpose of this paper is to provide a theoretically grounded discussion on big data
mining for customer insights, as well as to identify and describe a research gap due to the …

Events are real-world occurrences that unfold over space and time. Event mining from
multimedia streams improves the access and reuse of large media collections, and it has …

Handbook of Knowledge Representation describes the essential foundations of Knowledge
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …

One of the key factors that hinders integration of distributed, heterogeneous information
systems is the lack of a formal basis for modeling the complex, structured knowledge that is …

Event recognition systems rely on knowledge bases of event definitions to infer occurrences
of events in time. Using a logical framework for representing and reasoning about events …

Symbolic event recognition systems have been successfully applied to a variety of
application domains, extracting useful information in the form of events, allowing experts or …

As artificial intelligence (AI) thrives and propagates through modern life, a key question to
ask is how to include humans in future AI? Despite human involvement at every stage of the …

Systems for symbolic event recognition infer occurrences of events in time using a set of
event definitions in the form of first-order rules. The Event Calculus is a temporal logic that …

This book is intended as an introduction to what we feel is a versatile model for temporal
data, initiated by the work of Ch. Dousson in the 1990's. This temporal model, that has been …

Automated commonsense reasoning (CR) is essential for building human-like AI systems
featuring, for example, explainable AI. Event calculus (EC) is a family of formalisms that …