EDBT 2026 Demo / reviewers in the wild / expert
Son Yeon Hyuk
dblp:326/1291
· DBLP profile ↗
2ranked-venue papers in the field
1as first author
2since 2021 · last 2024
—ORCID · none
Domains — venue-derived; a paper can count in several
Big Data, Cloud & Distributed Data Systems · 2 (1 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | LLM as a Tool for Trust-Creating Communication in the Data MarketplaceabstractMethods for exchanging datasets and values as payment have been studied so far, where the communication of user’s intension has been positioned as a key for creating trust. However, user’s intension does not stand alone without logical description of the user’s current and desired situations. Here, with referring to the authors’ previous study about tsugo network, it is proposed to provide a prompt including the statement about the intention of data user, composed of his requirement and situation. This design of prompt is shown to play a significant role for obtaining a satisfactory use plan of datasets. Son Yeon Hyuk, Kaira Sekiguchi, Yukio Ohsawa |
IEEE Big Data | 1 |
| 2022 | Data Leaves as Scenario-oriented Metadata for Data Federative Innovation on TrustabstractCommunication regarding data use enhances and sustains trust in the data market. Showing this principle based on the literature on trust, this study proposes a novel method for representing the digest information of datasets to foster the thoughts of potential data users, who attempt to create valuable products, services, or business models using datasets and aid their communication with data providers. Compared with existing metadata, where variable labels in a dataset are listed, the presented metadata, called data leaf (DL), includes events, situations, and/or actions that, as a set, compose scenarios supposed to be active in the target real world of a dataset. This method considers the fitness of metadata corresponding to various datasets to a feature concept (FC), which provides an abstract illustration of the knowledge acquired or expected to be acquired from the data, and plays an essential role in data utilization. In experiments using metadata as elements to be combined in human thought for data federative innovation, DLs significantly outperformed cases using data jackets (DJs) where variable labels were used as attributes of the datasets. Yukio Ohsawa, Kaira Sekiguchi, Tomohide Maekawa, Hiroki Yamaguchi, Son Yeon Hyuk, Sae Kondo |
IEEE Big Data | 5 |