Category: Entity Resolution

  • The Rise of Semantic Entity Resolution

    The Rise of Semantic Entity Resolution Semantic entity resolution uses language models to bring an increased level of automation to schema alignment, blocking (grouping records into smaller, efficient blocks for all-pairs comparison at quadratic, n² complexity), matching and even merging duplicate nodes and edges. In the past, entity resolution systems relied on statistical tricks such…

  • Efficient Graph Storage for Entity Resolution Using Clique-Based Compression

    Efficient Graph Storage for Entity Resolution Using Clique-Based Compression In the world of entity resolution (ER), one of the central challenges is managing and maintaining the complex relationships between records. At its core, Tilores models entities as graphs: each node represents a record, and edges represent rule-based matches between those records. This approach gives us…