JSAI2023

Presentation information

Poster Session

General Session » Poster session

[3Xin4] Poster session 1

Thu. Jun 8, 2023 1:30 PM - 3:10 PM Room X (Exhibition hall B)

[3Xin4-60] Development of Knowledge Search Platform for R&D of Advanced and Fast Reactors

〇Akiyuki Seki1, Yuki Kondo1, Masanori Yoshikawa1, Kenji Yokoyama1, Shigeru Takaya1, Yasuhiro Enuma1 (1.Japan Atomic Energy Agency)

Keywords:Ontology, Resource Description Framework, Knowledge Graph, Advanced Reactor, Fast Reactor

The research and development of advanced and fast reactors is a long-term project, and the reports, data, and experience of the engineers accumulated during the project are valuable intellectual resources. When new participants join a project, they need to search for relevant reports and data, and then re-search for missing knowledge to build their knowledge. To support this knowledge construction, we are developing a knowledge search platform using an ontology that structures knowledge relationships. In this study, an ontology was created by structuring the types of technical review documents at the basic design stage of fast reactors. In addition, instances were assigned to this ontology to create RDF data. By using this RDF data, it is possible to search for knowledge using its relationships and a visualized knowledge graph.

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