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06/22/2023
Don't Treat the Symptom, Find the Cause! Efficient Artificial-Intelligence Methods for (Interactive) Debugging
In the modern world, we are permanently using, leveraging, interacting w...
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07/26/2022
How should I compute my candidates? A taxonomy and classification of diagnosis computation algorithms
This work proposes a taxonomy for diagnosis computation methods which al...
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12/21/2020
DynamicHS: Streamlining Reiter's Hitting-Set Tree for Sequential Diagnosis
Given a system that does not work as expected, Sequential Diagnosis (SD)...
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10/08/2020
Memory-Limited Model-Based Diagnosis
Various model-based diagnosis scenarios require the computation of most ...
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09/25/2020
Sound, Complete, Linear-Space, Best-First Diagnosis Search
Various model-based diagnosis scenarios require the computation of the m...
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09/25/2020
Do We Really Sample Right In Model-Based Diagnosis?
Statistical samples, in order to be representative, have to be drawn fro...
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09/23/2020
The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach
A common issue for companies is that the volume of product orders may at...
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01/16/2020
On Expert Behaviors and Question Types for Efficient Query-Based Ontology Fault Localization
We challenge existing query-based ontology fault localization methods wr...
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01/07/2020
Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof
In his seminal paper of 2004, Ulrich Junker proposed the QuickXPlain alg...
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07/28/2019
Towards Optimizing Reiter's HS-Tree for Sequential Diagnosis
Reiter's HS-Tree is one of the most popular diagnostic search algorithms...
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04/02/2019
Are Query-Based Ontology Debuggers Really Helping Knowledge Engineers?
Real-world semantic or knowledge-based systems, e.g., in the biomedical ...
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03/31/2019
A New Expert Questioning Approach to More Efficient Fault Localization in Ontologies
When ontologies reach a certain size and complexity, faults such as inco...
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07/09/2018
Evaluating Active Learning Heuristics for Sequential Diagnosis
Given a malfunctioning system, sequential diagnosis aims at identifying ...
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11/15/2017
A Generally Applicable, Highly Scalable Measurement Computation and Optimization Approach to Sequential Model-Based Diagnosis
Model-Based Diagnosis deals with the identification of the real cause of...
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05/28/2017
Inexpensive Cost-Optimized Measurement Proposal for Sequential Model-Based Diagnosis
In this work we present strategies for (optimal) measurement selection i...
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12/14/2016
Scalable Computation of Optimized Queries for Sequential Diagnosis
In many model-based diagnosis applications it is impossible to provide s...
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09/20/2016
A Theory of Interactive Debugging of Knowledge Bases in Monotonic Logics
A broad variety of knowledge-based applications such as recommender, exp...
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09/08/2016
Towards Better Response Times and Higher-Quality Queries in Interactive Knowledge Base Debugging
Many AI applications rely on knowledge encoded in a locigal knowledge ba...
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02/11/2013
RIO: Minimizing User Interaction in Debugging of Knowledge Bases
The best currently known interactive debugging systems rely upon some me...
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09/17/2012
RIO: Minimizing User Interaction in Ontology Debugging
Efficient ontology debugging is a cornerstone for many activities in the...
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09/05/2012
Direct computation of diagnoses for ontology debugging
Modern ontology debugging methods allow efficient identification and loc...
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07/20/2011
Interactive ontology debugging: two query strategies for efficient fault localization
Effective debugging of ontologies is an important prerequisite for their...
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04/29/2010
