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This paper discusses a framework for defining and capturing data provenance in entity resolution (ER) tasks, focusing on the identification of multiple representations of the same real-world entity. It presents a model for ER provenance that is independent of specific languages or technologies and describes a method for capturing this provenance through the instrumentation of ER rules specified in the high-level data integration language HIL.
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How to fill out provenance for entity resolution

01
Identify the data sources from which entities are derived.
02
Document the original context or environment where the data was collected.
03
Record any transformations or processing steps applied to the data.
04
Establish a time frame for when the data was collected and processed.
05
Include information about any contributors or systems that played a role in the data collection.
06
Tag the entities with unique identifiers that trace back to their origin.
07
Ensure all entered provenance information is accessible for review and auditing.

Who needs provenance for entity resolution?

01
Data analysts who need to verify data quality and lineage.
02
Data scientists working on machine learning models that rely on accurate entity information.
03
Regulatory bodies requiring transparency and traceability of data.
04
Organizations aiming to improve their data governance and compliance.
05
Stakeholders interested in understanding the source and history of their data.
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Provenance for entity resolution refers to the documentation and tracking of the origins, changes, and history of the data entities being resolved, ensuring that their sources and transformation processes are transparent and traceable.
Organizations and individuals involved in the creation, modification, or management of data entities that are subject to resolution are required to file provenance.
To fill out provenance for entity resolution, one must provide details such as data source information, transformation procedures, timestamps of changes, and the identities of individuals or systems that contributed to the entity.
The purpose of provenance for entity resolution is to ensure data integrity, enhance trust in data, facilitate auditing and compliance, and provide a clear history of data changes for further analysis or conflict resolution.
Information that must be reported includes source details, modification history, timestamps, involved parties, and any methodologies used during the resolution process.
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