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DataLibra: Democratizing Insight Retrieval from (Semi-)Structured Data
FunderNetherlands Organisation for Scientific Research (NWO)
DurationFrom 01 Oct 2024
Funded underNGF - AiNed Fellowship Beurzen 2022 2024
Project codeNGF.1607.22.045
Open Access mandatePublications: NoResearch data: No
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Description
By 2023, approximately 120 zettabytes of data has been collected worldwide, but less than 1% is actually used. With the DataLibra project, we set the ambitious goal to make insights from structured data more accessible to everyone through Table Representation Learning, targeting multiple challenges across the end-to-end data analytics pipeline.
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By 2023, approximately 120 zettabytes of data has been collected worldwide, but less than 1% is actually used. With the DataLibra project, we set the ambitious goal to make insights from structured data more accessible to everyone through Table Representation Learning, targeting multiple challenges across the end-to-end data analytics pipeline.
