Home

Welcome to the WInte.r Wiki. The pages in this Wiki introduce the most important concepts and parts of the framework. In addition, code examples provide a guideline how to start a data integration project.

The WInte.r framework comprises a model and implementations for various data integration tasks. The general workflow of an end-to-end data integration process looks like the following.

• Load the data into dataset objects
• Apply schema matching to get correspondences between attributes
• Apply identity resolution to get correspondences between records
• Transform the data into a consolidated schema using the correspondences between the attributes
• Use the correspondences between the records to perform data fusion and create one consolidated dataset

Contents

• Data Model
• Web Tables
• Framework Architecture
• Blocking
• Matching
  • Schema Matching
  • Identity Resolution
• Data Fusion
• Evaluation