Abstract
Repair techniques are used for reasoning in presence of inconsistencies. Such techniques rely on optimisations to avoid the computation of all repairs while certain applications need the generation of all repairs. In this paper, we show that the problem of all repair computation is not trivial in practice. To account for a scalable solution, we provide an incremental approach for the computation of all repairs when the conflicts have a cardinality of at most three. We empirically study its performance on generated knowledge bases (where the knowledge base generator could be seen as a secondary contribution in itself).
Original language | English |
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Title of host publication | Ontologies and Concepts in Mind and Machine |
Editors | Mehwish Alam, Tanya Braun, Bruno Yun |
Publisher | Springer Nature Switzerland AG |
Pages | 33-47 |
Number of pages | 15 |
Volume | 12277 |
ISBN (Electronic) | 978-3-030-57855-8 |
ISBN (Print) | 978-3-030-57854-1 |
DOIs | |
Publication status | E-pub ahead of print - 10 Sep 2020 |
Event | Ontologies and Concepts in Mind and Machine: 25th International Conference on Conceptual Structures - Bolzano, Italy Duration: 18 Sep 2020 → 20 Sep 2020 Conference number: 25th |
Publication series
Name | Lecture Notes in Computer Science |
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Conference
Conference | Ontologies and Concepts in Mind and Machine |
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Abbreviated title | ICCS 2020 |
Country/Territory | Italy |
City | Bolzano |
Period | 18/09/20 → 20/09/20 |
Keywords
- repairs
- Knowledge base
- existential rule
- Repairs
- Existential rule