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Evaluation of the impact of semantic enrichment on downstream analytics

This topic concerns the design and development of data enrichment solutions with the goal of evaluating the effectiveness and limitations of current solutions, analyzing technical requirements, and, especially, evaluating the effectiveness of the proposed solutions on downstream business analytics tasks.

Photo: Mikael Blomkvist /

Examples of such activities include: finding relevant business cases (e.g., based on kaggle challenges), studying the coverage of the existing solutions for the selected business cases, specifying and executing dedicated enrichment pipelines, developing/improving enrichment services to fill in the gap, evaluate the cost of these operations and their benefits in the business task (e.g., improvement of predictions with enriched information).

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