Abstract
Conceptual Graphs are a powerful visual knowledge representation language. In this paper we are interested in the use of Conceptual Graphs in the setting of Ontology Based Data Access, and, more specifically, in reasoning in the presence of inconsistency. We present different explanation heuristics of query answering under inconsistency and show how they can be implemented under the Conceptual Graphs editor COGUI.
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