2026-08-04T09:26:10Z https://dcpapers.dublincore.org/oai

oai:dcpapers.dublincore.org:952519392 2025-12-24 dcmi-2025

A Preliminary Study on Metadata Compatibility and Automatic Conversion among LOD Datasets Cong, Yan Takaku, Masao Minamiyama, Yasuyuki Aoki, Takaaki Matsubara, Shigeki 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. Dublin Core Metadata Initiative 2025-12-24 Text application/pdf text/html https://doi.org/10.23106/dcmi.952519392 https://dcpapers.dublincore.org/article/952519392 Dublin Core Metadata Initiative Conference Proceedings en https://creativecommons.org/licenses/by/4.0/