OEH is a unified index that supports subsumption order-testing and index-resident monoid roll-up on poset hierarchies via nested-set embeddings for trees or chain decomposition for low-width DAGs.
Indexing highly dynamic hierarchical data.PVLDB, 8(10), 2015
2 Pith papers cite this work. Polarity classification is still indexing.
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RACT is a retrieval-augmented self-supervised method that improves multi-table schema matching precision and completeness by up to 70% by probabilistically retrieving relevant tables to limit column candidate search space.
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One Index for Subsumption and Roll-up across Time, Geography, and Ontology
OEH is a unified index that supports subsumption order-testing and index-resident monoid roll-up on poset hierarchies via nested-set embeddings for trees or chain decomposition for low-width DAGs.
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RACT: Retrieval Augmented Column-Table Learning and Prediction for Multi-Table Schema Matching
RACT is a retrieval-augmented self-supervised method that improves multi-table schema matching precision and completeness by up to 70% by probabilistically retrieving relevant tables to limit column candidate search space.