Get the free Usage-Based Schema Matching - cs purdue

This paper introduces a new class of schema matching techniques called usage-based schema matching, which utilizes information from query logs to identify attribute correspondences in schemas, particularly

How to fill out usage-based schema matching

How to fill out Usage-Based Schema Matching

1. Identify the datasets you want to match.
2. Analyze the structure of the schemas involved.
3. Determine the usage context for each dataset.
4. Extract relevant features from the datasets.
5. Create a mapping of the corresponding attributes based on their usage.
6. Assess the accuracy of the mapped schema using sample queries.
7. Iterate and refine the schema matching based on feedback and performance.

Who needs Usage-Based Schema Matching?

1. Data scientists looking to integrate multiple data sources.
2. Organizations implementing data warehousing solutions.
3. Businesses aiming for improved data analytics and reporting.
4. Developers creating applications that require data interoperability.
5. Researchers working with heterogeneous data sets for academic studies.

For pdfFiller’s FAQs

What is Usage-Based Schema Matching?

Usage-Based Schema Matching is a process where schemas are aligned based on their actual usage patterns, ensuring that data models accurately reflect how data is accessed and utilized in real-world scenarios.

Who is required to file Usage-Based Schema Matching?

Organizations or entities that manage databases or data systems are typically required to file Usage-Based Schema Matching, particularly if they are subject to regulatory requirements or data governance policies.

How to fill out Usage-Based Schema Matching?

To fill out Usage-Based Schema Matching, one must analyze the data usage patterns, document the schema elements, and assess how these elements align with the actual usage, ensuring the information is clearly presented in the required format.

What is the purpose of Usage-Based Schema Matching?

The purpose of Usage-Based Schema Matching is to ensure data integrity and consistency by aligning the schema design with actual usage, facilitating better data management and compliance with relevant standards.

What information must be reported on Usage-Based Schema Matching?

Information that must be reported includes the schema elements, their usage frequency, types of operations performed on the data, and any discrepancies noticed between expected and actual usage.