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Data & Knowledge Engineering 66 (2008) 368 381 Contents lists available at ScienceDirect Data & Knowledge Engineering journal homepage: www.elsevier.com/locate/datak Entity matching across heterogeneous

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What is entity matching across heterogeneous?

Entity matching across heterogeneous refers to the process of identifying and aligning similar entities from different sources or datasets that have varying structures, formats, or representations. It aims to merge or link together those entities that refer to the same real-world object or concept, even if they are described differently in each source.

Who is required to file entity matching across heterogeneous?

There is no specific entity or individual required to file entity matching across heterogeneous. This process is often performed by data analysts, data scientists, or technology experts who work on integrating or reconciling data from multiple sources and want to ensure data consistency and accuracy across those sources.

How to fill out entity matching across heterogeneous?

Filling out entity matching across heterogeneous typically involves performing data preprocessing tasks, such as data cleaning and transformation, to standardize the format or structure of the data from different sources. Then, various matching techniques or algorithms, such as rule-based matching or machine learning-based matching, can be applied to identify and link similar entities across the sources. Finally, the matching results can be evaluated and validated.

What is the purpose of entity matching across heterogeneous?

The purpose of entity matching across heterogeneous is to integrate or link together similar entities from different sources or datasets. By doing so, it ensures data consistency, improves data quality, and enables more efficient and accurate data analysis, data integration, or information retrieval tasks across heterogeneous sources. It helps organizations or individuals to have a unified view of the data and make better-informed decisions.

What information must be reported on entity matching across heterogeneous?

The information reported on entity matching across heterogeneous typically includes the details of the matched entities, such as their unique identifiers, attributes or features used for matching, matching scores or similarity measures, and the provenance or sources of the matched entities. Additionally, any uncertainty or conflicts in the matching results, if applicable, may also be reported.