Many approaches for forgetting in Answer Set Programming (ASP) have been proposed in
recent years, in the form of specific operators, or classes of operators, following different …

Forgetting–or variable elimination–is an operation that allows the removal, from a
knowledge base, of middle variables no longer deemed relevant. In recent years, many …

Selectively forgetting information while preserving what matters the most is becoming an
increasingly important issue in many areas, including in knowledge representation and …

Abstract Description logic ontologies, such as ontologies written in OWL, and non-monotonic
rules, as known in Logic Programming, are two major approaches in Knowledge …

Stream reasoning is the task of continuously deriving conclusions on streaming data. To get
results instantly one evaluates a query repeatedly on recent data chunks selected by …

Among the myriad of desirable properties discussed in the context of forgetting in Answer
Set Programming, strong persistence naturally captures its essence. Recently, it has been …

Description Logic (DL) based ontologies and nonmonotonic rules provide complementary
features whose combination is crucial in many applications. In hybrid knowledge bases …

Throughout the last decade, two distinct knowledge representation paradigms have been
standardised to capture rich metadata on the Web: ontology languages based on Classical …

Selectively forgetting information while preserving what matters the most is becoming an
increasingly important issue in many areas, including in knowledge representation and …

Forgetting is an operation that allows the removal, from a knowledge base, of middle
variables no longer deemed relevant, while preserving all relationships (direct and indirect) …