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
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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.