Summary of Consistent Query Answering For Existential Rules with Closed Predicates, by Lorenzo Marconi et al.
Consistent Query Answering for Existential Rules with Closed Predicates
by Lorenzo Marconi, Riccardo Rosati
First submitted to arxiv on: 11 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes Consistent Query Answering (CQA), an approach to data access in knowledge bases and databases that can provide meaningful answers even when faced with inconsistent information. The key idea is to repair the database to a consistent state through minimal modifications. The authors focus on databases with data dependencies expressed by existential rules, specifically disjunctive embedded dependencies with inequalities (DEDs). They analyze the data complexity of CQA and associated tasks under different semantics and for various classes of existential rules, including acyclic, linear, full, sticky, and guarded DEDs. This work contributes to a better understanding of CQA in databases and has implications for query answering in knowledge bases. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us understand how computers can answer questions even when the information is mixed up or wrong. It’s like trying to find the correct answer to a question, but the data is messy. The authors developed a way to fix the mess by making small changes to the database. They tested their idea on special kinds of rules that describe how the data relates to each other. This work can help make computers better at giving answers even when the information is tricky. |
Keywords
» Artificial intelligence » Semantics
