Text Data Integration
Data comes in many forms. From a shallow perspective, they can be viewed as being either in structured (e.g., as a relation, as key-value pairs) or unstructured (e.g., text, image) formats. So far, machines have been fairly good at processing and reasoning over structured data that follows a precise schema. However, the heterogeneity of data poses a significant challenge on how well diverse categories of data can be meaningfully stored and processed. Data Integration, a crucial part of the data engineering pipeline, addresses this by combining disparate data sources and providing unified data access to end-users. Until now, most data integration systems have leaned on only combining struc...
| Authors | Md Ataur Rahman, Dimitris Sacharidis, Oscar Romero et al. |
|---|---|
| Primary category | cs.CL |
| Published | 28 March 2026 |
| Last updated at source | 28 March 2026 |
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