将生成式AI融入知识库，实现多语言语料的智能管理与动态更新。
Animer une base de connaissance: des ontologies aux mod{è}les d'I.A. g{é}n{é}rative
- 构建基于本体的知识库系统，融合符号与神经网络方法。
- 集成生成式工具提升数据标注、索引提取与属性建议效率。
- 适用于人文社科领域知识库维护，支持跨语言研究。
在社会科学与人文学科探索非人类中心分析框架的背景下，本文提出一种基于符号学（结构）视角的混合人工智能读解，聚焦区域研究知识库的设计与应用。介绍了Inalco（巴黎东方语言文化学院）部署的LaCAS生态系统——开放语言与文化研究资料库（含术语表、RDF/OWL本体、开放数据服务、资源采集、专家知识与出版），依托Ina（国家音视频研究所）开发的Okapi软件环境，现已整合约16万份文献资源，涵盖十大知识主领域，囊括数千个知识对象。以“世界语言”（约540种语言）及“克丘亚语（语言）”为例，展示生成式工具如何嵌入知识库全生命周期：辅助数据定位与质量评估、索引抽取与聚合、属性建议与验证、动态文件生成以及上下文提示工程（通用、上下文、解释、调整、流程化）。提出由专用智能体构成的生态系统，协同模型驱动与数据驱动方法，在尊重符号约束的前提下“激活”知识库。
原文摘要 · Abstract (English)
In a context where the social sciences and humanities are experimenting with non-anthropocentric analytical frames, this article proposes a semiotic (structural) reading of the hybridization between symbolic AI and neural (or sub-symbolic) AI based on a field of application: the design and use of a knowledge base for area studies. We describe the LaCAS ecosystem -- Open Archives in Linguistic and Cultural Studies (thesaurus; RDF/OWL ontology; LOD services; harvesting; expertise; publication), deployed at Inalco (National Institute for Oriental Languages and Civilizations) in Paris with the Okapi (Open Knowledge and Annotation Interface) software environment from Ina (National Audiovisual Institute), which now has around 160,000 documentary resources and ten knowledge macro-domains grouping together several thousand knowledge objects. We illustrate this approach using the knowledge domain ''Languages of the world'' (~540 languages) and the knowledge object ''Quechua (language)''. On this basis, we discuss the controlled integration of neural tools, more specifically generative tools, into the life cycle of a knowledge base: assistance with data localization/qualification, index extraction and aggregation, property suggestion and testing, dynamic file generation, and engineering of contextualized prompts (generic, contextual, explanatory, adjustment, procedural) aligned with a domain ontology. We outline an ecosystem of specialized agents capable of animating the database while respecting its symbolic constraints, by articulating model-driven and data-driven methods.
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