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Semantic technology is revolutionizing how the battery research community collaborates. It is becoming even more important as artificial intelligence agents emerge in the field. This article explores the role of semantic resources in advancing battery research by enabling the formalization of knowledge in a way that can be understood by both people and computers. Domain-specific ontologies provide definitive frameworks for structuring knowledge, while open-source software packages enable the creation, validation, manipulation, and sharing of data. To link ontologies with other resources, articles, and multimedia content, a new web-based platform called the Battery Knowledge Base, which provides a centralized hub to enhance knowledge sharing and collaboration, is introduced. In this article, how these semantic tools address critical challenges in knowledge and data management, driving progress in the field, are highlighted.
Antoine Bosselut, Syrielle Mathilde Marie Montariol, Debjit Paul, Mahammad Ismayilzada
Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng