ABox abduction is an important aspect for abductive reasoning in Description Logics (DLs). It finds all minimal sets of ABox axioms that should be added to a background ontology to enforce entailment of a specified set of ABox axioms. As far as we know, by now there is only one ABox abduction method in expressive DLs computing abductive solutions with certain minimality. However, the method targets an ABox abduction problem that may have infinitely many abductive solutions and may not output an abductive solution in finite time. Hence, in this paper we propose a new ABox abduction problem which has only finitely many abductive solutions and also propose a novel method to solve it. The method reduces the original problem to an abduction prob...
Description logics (DLs), as a decidable fragment of first-order logic, are a family of logic based ...
We argue for the usefulness of abductive reasoning in the context of ontologies. We discuss several...
Abductive reasoning generates explanatory hypotheses for new observations using prior knowledge. Thi...
ABox abduction is an important reasoning mechanism for description logic ontologies. It computes all...
Due to the growing popularity of Description Logics-based knowledge representation systems, predomin...
Abstract. The formal definition of abduction asks what needs to be added to a knowledge base to enab...
Abstract. The formal definition of abduction asks what needs to be added to a knowledge base to enab...
The formal definition of abduction asks what needs to be added to a knowledge base to enable an obse...
ABox abduction plays an important role in reasoning over description logic (DL) ontologies. However,...
Part 4: Automatic ReasoningInternational audienceABox abduction is the foundation of abductive reaso...
Abstract. The formal definition of abduction asks what needs to be added to a knowledge base to enab...
Ontologies based on Description Logic (DL) represent general background knowledge in a terminology (...
In this paper we consider the problem of repairing missing is-a relations in ontologies. We formali...
The ontology knowledge base (KB) can be divided into two parts: TBox and ABox, where the former mode...
Errors in Description Logic (DL) ontologies are often detected when a reasoner computes unwanted con...
Description logics (DLs), as a decidable fragment of first-order logic, are a family of logic based ...
We argue for the usefulness of abductive reasoning in the context of ontologies. We discuss several...
Abductive reasoning generates explanatory hypotheses for new observations using prior knowledge. Thi...
ABox abduction is an important reasoning mechanism for description logic ontologies. It computes all...
Due to the growing popularity of Description Logics-based knowledge representation systems, predomin...
Abstract. The formal definition of abduction asks what needs to be added to a knowledge base to enab...
Abstract. The formal definition of abduction asks what needs to be added to a knowledge base to enab...
The formal definition of abduction asks what needs to be added to a knowledge base to enable an obse...
ABox abduction plays an important role in reasoning over description logic (DL) ontologies. However,...
Part 4: Automatic ReasoningInternational audienceABox abduction is the foundation of abductive reaso...
Abstract. The formal definition of abduction asks what needs to be added to a knowledge base to enab...
Ontologies based on Description Logic (DL) represent general background knowledge in a terminology (...
In this paper we consider the problem of repairing missing is-a relations in ontologies. We formali...
The ontology knowledge base (KB) can be divided into two parts: TBox and ABox, where the former mode...
Errors in Description Logic (DL) ontologies are often detected when a reasoner computes unwanted con...
Description logics (DLs), as a decidable fragment of first-order logic, are a family of logic based ...
We argue for the usefulness of abductive reasoning in the context of ontologies. We discuss several...
Abductive reasoning generates explanatory hypotheses for new observations using prior knowledge. Thi...