Given the challenge of giant knowledge graphs created by major eco-nomic actors, which could virtually replace research in the Humani-ties and Social Sciences (HSS) in responding to public concerns, thequestion arises of how to increase the value of research data throughtheir publication and networking, applying the FAIR principles. Bothan epistemological and a semantic analysis show that the most rel-evant part of research data is factual information, understood as arepresentation of the objects observed by the scientific disciplines,their properties and their relationships.This rich universe of information will be made understandable andtherefore reusable through the application of foundational ontologiesand a methodology based on the distinction between different levelsof abstraction, allowing the collective development of one or moreshared and reusable domain ontologies. This vision is being carriedout around the CIDOC CRM, as core ontology, and Semantic Datafor Humanities and Social Sciences (SDHSS), as a high-level exten-sion of it, as well as an ecosystem of sub-domain extensions that canbe easily managed through the ontome.net application. This willresult in an interoperability that is semantically richer than the sim-ple alignment of ontologies and less costly in terms of resources, andabove all adapted to the scientific and humanistic project of the HSS.

翻译：面对大型经济主体创建的巨大知识图谱可能实质上取代人文与社会科学（HSS）回应公众关切的研究需求这一挑战，如何通过应用FAIR原则提高研究数据的发布与网络化价值便成为关键问题。认识论与语义分析均表明，研究数据中最具相关性的部分是事实信息，即对科学学科所观察对象的表征、其属性及其相互关系。这一丰富的信息宇宙将通过应用基础本体论及基于不同抽象层次区分的方法论变得可理解且可重用，从而支持共享且可复用的领域本体论的集体开发。该愿景正围绕核心本体CIDOC CRM、其高层扩展人文与社会科学语义数据（SDHSS），以及可通过ontome.net应用程序轻松管理的子领域扩展生态系统来实施。这将实现一种在语义上比简单的本体对齐更为丰富、资源成本更低，且尤其契合HSS科学与人文项目的互操作性。