Hierarchical Table Semantics for Exploratory Table Discovery

Exploratory table discovery in open data portals presents significant challenges due to unreliable metadata and ambiguous table semantics. Users typically lack prior knowledge of available datasets, making it difficult to identify relevant tables through traditional keyword search or value matching approaches, which often fail to capture semantic relevance across heterogeneous table representations.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1145/3736733.3736746
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Hierarchical Table Semantics for Exploratory Table Discovery

Juliana Freire, Grace Fan
Data Management and Algorithms
article

Hierarchical Table Semantics for Exploratory Table Discovery

Juliana Freire, Grace Fan
article en

Abstract

Exploratory table discovery in open data portals presents significant challenges due to unreliable metadata and ambiguous table semantics. Users typically lack prior knowledge of available datasets, making it difficult to identify relevant tables through traditional keyword search or value matching approaches, which often fail to capture semantic relevance across heterogeneous table representations.

New York University (US)
National Science Foundation, Defense Advanced Research Projects Agency, Advanced Research Projects Agency
Reduced inequalities
Openalex Percentile: Top 81%
Data Management and Algorithms
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