Analysis of MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps
Topics: AI (Deep Learning), E-E-A-T, Knowledge Graph, LLMO, Retrieval Augmented Generation (RAG), Xin Luna Dong
MIDAS is a system designed to address the bottleneck in knowledge base augmentation by automating the selection of high-quality web sources. It introduces “web source slices” to efficiently extract relevant data subsets, evaluates their utility using a profit function, and employs scalable algorithms to derive these slices. MIDAS bridges the gap between automated and semi-automated knowledge extraction processes, increasing both precision and scalability.
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