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ORBITS system offers new algorithms for querying inconsistent prioritized data

By PulseAugur Editorial · [1 sources] ·

This paper introduces ORBITS, a system designed for querying inconsistent prioritized data. It focuses on algorithms for answering queries in knowledge bases where facts have varying levels of importance. The research presents new SAT encodings for optimal repairs and evaluates their performance experimentally. AI

IMPACT Introduces novel algorithms for handling complex data inconsistencies in knowledge bases, potentially improving AI reasoning capabilities.

RANK_REASON This is a research paper published on arXiv detailing algorithms and experiments for a specific data querying system.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ORBITS system offers new algorithms for querying inconsistent prioritized data

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This is a research paper published on arXiv detailing algorithms and experiments for a specific data querying system.
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Meghyn Bienvenu, Camille Bourgaux ·

    Querying Inconsistent Prioritized Data with ORBITS: Algorithms, Implementation, and Experiments

    arXiv:2202.07980v5 Announce Type: replace-cross Abstract: We investigate practical algorithms for inconsistency-tolerant query answering over prioritized knowledge bases, which consist of a logical theory, a set of facts, and a priority relation between conflicting facts. We cons…

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