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We introduce HIL, a high-level scripting language for entity resolution and integration. HIL aims at providing the core logic for complex data processing flows that aggregate facts from large collections of structured or unstructured data into clean, unified entities. Such flows typically include many stages of processing that start from the outcome of information extraction and continue with entity resolution, mapping and fusion. A HIL program captures the overall integration flow through a combination of SQL-like rules that link, map, fuse and aggregate entities. A salient feature of HIL is the use of logical indexes in its data model to facilitate the modular construction and aggregation of complex entities. Another feature is the presence of a flexible, open type system that allows HIL to handle input data that is irregular, sparse or partially known.
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Stored only when both papers are in the corpus — 36 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.