We describe our approach for inconsistency monitoring in a large biology KB. We use a combination of anti-patterns that are indicative of poor modeling and ...

We describe our approach for inconsistency monitoring in a large biology KB. We use a combina- tion of anti-patterns that are indicative of poor modeling and ...

Inconsistency Monitoring in a Large Scientific Knowledge Base. V. Chaudhri, R. Katragadda, J. Shrager, and M. Wessel. EKAW, volume 8876 of Lecture Notes in ...

... inconsistency handling in very large knowledge bases. Then we propose a modularity-based approach to measuring inconsistency for knowledge bases. View. Show ...

Jun 3, 2022 · Using a theoretical model, we study how within-expert inconsistency and confidence are related to how strongly experts agree on a case.

Apr 20, 2020 · In this paper, we present a novel approach to dramatically speed up the process of detecting and explaining inconsistency in large KGs.

Aug 27, 2021 · In this paper, we presented an approach to handle inconsistency in a knowledge base by using a notion of associations between clauses based ...

Oct 22, 2024 · The first approach, termed the multi-section inconsistency measure (MSIM for short), provides a framework for characterizing the inconsistency ...

The first approach, termed the multi-section inconsistency measure (MSIM for short), provides a framework for characterizing the inconsistency at each stratum ...

Mar 11, 2024 · Listen attentively to all spoken instructions · Read any and all written instructions carefully · Make sure that you understand what is required ...