Different scientific communities produce different kinds of datasets that rely on different data descriptions, approaches, and logical organisations. In such an environment, it is essential to establish a knowledge communication framework that can guarantee some fundamentals, such as an inclusive description and documentation of the interdisciplinary digital resources, their long-term preservation, access, use, and reuse. The establishment of semantic knowledge integration aims at overcoming such inhomogeneity between data produced by different research communities. Specifically, we refer to those communities aggregated within the e-Infrastructure developed by the European project VI-SEEM: Life Science, Climate Science, and Digital Cultural Heritage. The current research proposes a framework based on CIDOC CRM and its extensions, in particular the CRMsci and CRMdig, and tested on examples identified as interdisciplinary respect to the different and various research areas of the project. Moreover, the semantic solution aims at fulfilling the FAIR principles.

不同的科学界产生不同类型的数据集，这些数据集依赖于不同的数据描述、方法和逻辑组织。在这样的环境下，必须建立一个知识交流框架，以保证一些基础知识，例如对跨学科数字资源的包容性描述和文档化，以及它们的长期保存、访问、使用和再利用。语义知识集成的建立旨在克服不同研究社区产生的数据之间的这种不均匀性。具体来说，我们指的是由欧洲项目 VI-SEEM 开发的电子基础设施中聚合的那些社区：生命科学、气候科学和数字文化遗产。目前的研究提出了一个基于 CIDOC CRM 及其扩展的框架，特别是 CRMsci 和 CRMdig，并在被确定为项目不同和不同研究领域的跨学科方面的示例上进行了测试。此外，语义解决方案旨在实现 FAIR 原则。