Updated on 2026/06/18

写真a

 
CONG Yan
 
Organization
Information Technology Center Designated Assistant Professor
Title
Designated Assistant Professor
External link

Degree 1

  1. 博士(図書館情報学) （ 2024.4   筑波大学 ） 

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Research Interests 8

  1. metadata, AI education, digital archive, digital humanities

  2. AI Education

  3. Chinese Poetry

  4. Standardization Methods

  5. Utilization

  6. metadata

  7. Digital Humanities

  8. Digital Archive

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Research Areas 3

  1. Informatics / Learning support systems  / Chinese Poetry, Standardization, Utilization

  2. Humanities & Social Sciences / Library/information science, humanistic/social informatics  / Chinese Poetry, Standardization, Utilization

  3. Humanities & Social Sciences / Library/information science, humanistic/social informatics  / 図書館情報学

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Research History 2

  1. 名古屋大学 情報基盤センター

    2024.7

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    Country：China

    researchmap

  2. University of Tsukuba   Research Asistant

    2023.6 - 2024.3

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    Country：Japan

    researchmap

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Professional Memberships 1

  1. 情報知識学会

    2018.5

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Papers 2

  1. A Preliminary Study on Metadata Compatibility among LOD Datasets Open Access

    CONG Yan, TAKAKU Masao, MINAMINYAMA Yasuyuki, AOKI Takaaki

    Joho Chishiki Gakkaishi   Vol. 35 ( 2 ) page： 304 - 314   2025.5

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    Language：Japanese   Publisher：Japan Society of Information and Knowledge  

    DOI： 10.2964/jsik_2025_029

    Open Access

    CiNii Research

  2. A Preliminary Study on Metadata Compatibility and Automatic Conversion among LOD Datasets Open Access

    Cong Y., Takaku M., Minaminyama Y., Aoki T., Matsubara S.

    Proceedings of the International Conference on Dublin Core and Metadata Applications     2025

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    Publisher：Proceedings of the International Conference on Dublin Core and Metadata Applications  

    In recent years, open science has promoted the web-based publication and reuse of research data. Publishing such data typically involves selecting a domain-specific metadata schema and using repositories for distribution. In Linked Open Data (LOD) datasets, domain-specific metadata schemas like VoID and DCAT are commonly used. However, differences in metadata schemas across institutions hinder cross-domain search and reuse due to duplicated terms and semantic ambiguity. The lack of clear metadata guidelines and examples leads to inconsistent metadata creation, ultimately compromising interoperability. This study addresses these issues by proposing a method to enhance compatibility among metadata schemas. Specifically, it focuses on mapping LOD schemas from VoID and DCAT to DataCite metadata schema. Additionally, it explores automating conversion process by pseudocode. This approach aims to align semantics across domain-specific metadata schemas and improve the findability and interoperability of dataset metadata.

    DOI： 10.23106/dcmi.952519392

    Open Access

    Scopus

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