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Incremental Multisource Entity Resolution for Knowledge Graph Completion Alieh Saeedi, Eric Peukert, and Erhard Rahm University of Leipzig & ScaDS.AI Dresden/Leipzig, GermanyAbstract. We present and
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How to fill out incremental multi-source entity resolution

01
Identify the sources of data that need to be included in the entity resolution process
02
Define the attributes that will be used to match entities across different sources
03
Establish a strategy for resolving conflicts or discrepancies between data sources
04
Implement a process for continuously updating and integrating new data sources into the entity resolution system

Who needs incremental multi-source entity resolution?

01
Enterprises with large volumes of data from multiple sources that need to be accurate and up-to-date
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Organizations that require a comprehensive view of their customers, products, or other entities across different systems
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Incremental multi-source entity resolution is a process used to identify and match entities across multiple datasets progressively, ensuring that data remains accurate and up-to-date as new information is added.
Entities that actively manage or share data across multiple sources and need to keep their records accurate are usually required to file incremental multi-source entity resolution.
Filling out incremental multi-source entity resolution typically involves collecting relevant data points, ensuring their accuracy, and submitting a structured format that aligns with regulatory requirements.
The purpose of incremental multi-source entity resolution is to enhance data integrity by continuously resolving entities from multiple data sources and minimizing duplicates or inaccuracies.
Information that must be reported includes entity identifiers, source details, changes made, and any discrepancies found during the resolution process.
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