Abstract Information systems have to deal with an increasing amount of data that is
heterogeneous, unstructured, or incomplete. In order to align and complete data, systems …

The area of Principles of Data Management (PDM) has made crucial contributions to the
development of formal frameworks for understanding and managing data and knowledge …

Visual explanations are logical arguments based on visual features that justify the
predictions made by neural networks. Current modes of visual explanations answer …

Abductive reasoning generates explanatory hypotheses for new observations using prior
knowledge. This paper investigates the use of forgetting, also known as uniform …

Signature-Based Abduction for Expressive Description Logics Page 1 Signature-Based
Abduction for Expressive Description Logics Patrick Koopmann1 , Warren Del-Pinto2 , Sophie …

Due to the growing popularity of Description Logics-based knowledge representation
systems, predominantly in the context of Semantic Web applications, there is a rising …

The immense and constantly growing number of videos urges efficient automated
processing mechanisms for multimedia contents, which is a real challenge due to the huge …

In order to meet usability requirements, most logic-based applications provide explanation
facilities for reasoning services. This holds also for Description Logics, where research has …

The commonsense natural language inference (CNLI) tasks aim to select the most likely
follow-up statement to a contextual description of ordinary, everyday events and facts …

An abstraction is a representation of an environment derived from sensor observation data.
Generating an abstraction requires inferring explanations from an incomplete set of …