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Benchmarking Filtering Techniques for Entity Resolution

Research article (2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023) · cited 15× · AI/ML
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Benchmarking Filtering Techniques for Entity Resolution

Summary

Benchmarking Filtering Techniques for Entity Resolution is a scholarly article[1].

Key Facts

  • Benchmarking Filtering Techniques for Entity Resolution's instance of is recorded as scholarly article[2].

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Wolfgang Nejdl

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Benchmarking Filtering Techniques for Entity Resolution. Retrieved May 24, 2026, from https://4ort.xyz/entity/benchmarking-filtering-techniques-for-entity-resolution
MLA “Benchmarking Filtering Techniques for Entity Resolution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/benchmarking-filtering-techniques-for-entity-resolution.
BibTeX @misc{4ortxyz_benchmarking-filtering-techniques-for-entity-resolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Benchmarking Filtering Techniques for Entity Resolution}}, year = {2026}, url = {https://4ort.xyz/entity/benchmarking-filtering-techniques-for-entity-resolution}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Benchmarking Filtering Techniques for Entity Resolution — https://4ort.xyz/entity/benchmarking-filtering-techniques-for-entity-resolution (retrieved 2026-05-24)

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