H
Hoa Nguyen
Researcher at University of Utah
Publications - 23
Citations - 402
Hoa Nguyen is an academic researcher from University of Utah. The author has contributed to research in topics: Schema matching & Visualization. The author has an hindex of 9, co-authored 20 publications receiving 373 citations. Previous affiliations of Hoa Nguyen include Scientific Computing and Imaging Institute & University of Illinois at Urbana–Champaign.
Papers
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Proceedings Article
Mapping maintenance for data integration systems
TL;DR: MAVERIC is described, an automatic solution to detecting broken mappings that combines a set of computationally inexpensive modules called sensors, which capture salient characteristics of data sources, and develops three novel improvements: perturbation, multi-source training, and filtering to reduce the number of false alarms.
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Learning to extract form labels
TL;DR: This technique makes use of a learning classifier ensemble to identify element-label mappings; and it applies a reconciliation step which leverages the classifier-derived mappings to boost extraction accuracy.
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Multilingual schema matching for Wikipedia infoboxes
TL;DR: This paper proposes a method for identifying mappings between attributes from infoboxes that come from pages in different languages in a completely automated fashion and demonstrates that the multilingual mappings it derives lead to substantial improvements in answer quality and coverage for structured queries over Wikipedia content.
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Synthesizing products for online catalogs
TL;DR: This paper proposes a system that provides an end-to-end solution to the product synthesis problem, and addresses issues involved in data extraction from offers, schema reconciliation, and data fusion.
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DSPCP: A Data Scalable Approach for Identifying Relationships in Parallel Coordinates
Hoa Nguyen,Paul Rosen +1 more
TL;DR: This work proposes a new data scalable design for representing and exploring data relationships in PCPs that exploits the point/line duality property of PCPs and a local linear assumption of data to extract and represent relationship summarizations.