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AAAI 2005

Diagnosing Terminologies

Conference Paper Knowledge Representation and Reasoning Artificial Intelligence

Abstract

We present a framework for the debugging of logically contradicting terminologies, which is based on traditional modelbased diagnosis. To study the feasibility of this highly general approach we prototypically implemented the hitting set algorithm presented in (Reiter 1987), and applied it in three different scenarios. First, we use a Description Logic reasoning system as a black-box to determine (necessarily maximal) conflict sets. Then we use our own non-optimized DL reasoning engine to produce small, and a specialized algorithm to determine minimal conflict sets. In a number of experiments we show that the first method already fails for relatively small terminologies. However, based on small, or minimal conflict sets, we can often calculate diagnoses in reasonable time.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
902523260913826796
v2026.09.13