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Researchers analyze query relevance complexity in databases

By PulseAugur Editorial · [2 sources] ·

Researchers have analyzed the computational complexity of determining fact relevance to database queries. They found that the problem is generally harder than query evaluation, with NP-hardness arising even in simpler query structures. The study identifies self-joins as a key factor contributing to this difficulty and proposes that limiting self-joins can reduce the complexity to that of query evaluation. AI

IMPACT Identifies specific query structures that complicate relevance determination, potentially guiding future database optimization and AI-driven data analysis.

RANK_REASON Academic paper analyzing computational complexity of a database problem.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Researchers analyze query relevance complexity in databases

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade ·

    How Hard is it to Decide if a Fact is Relevant to a Query?

    arXiv:2604.22422v1 Announce Type: cross Abstract: We consider the following fundamental problem: given a database D, Boolean conjunctive query (CQ) q, and fact f in D, decide whether f is relevant to q wrt. D, i.e., does f belong to a minimal subset S of D such that S |= q. Despi…

  2. arXiv cs.AI TIER_1 English(EN) · Pierre Lafourcade ·

    How Hard is it to Decide if a Fact is Relevant to a Query?

    We consider the following fundamental problem: given a database D, Boolean conjunctive query (CQ) q, and fact f in D, decide whether f is relevant to q wrt. D, i.e., does f belong to a minimal subset S of D such that S |= q. Despite being of central importance to query answer exp…

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