Terminological resources play a central role in the organization and retrieval of scientific texts. Both simple keyword lists and advanced modelings of relationships between terminological concepts can make a most valuable contribution to the analysis, classification, and finding of appropriate digital documents, either on the web or within local repositories. This seems especially true for long-established scientific fields with elusive theoretical and historical branches, where the use of terminology within documents from different origins is often far from being consistent. In this paper, we report on the progress of a linguistically motivated project on the onomasiological re-modeling of the terminological resources for the grammatical information system grammis. We present the design principles and the results of their application. In particular, we focus on new features for the authoring backend and discuss how these innovations help to evaluate existing, loosely structured terminological content, as well as to efficiently deal with automatic term extraction. Furthermore, we introduce a transformation to a future SKOS representation. We conclude with a positioning of our resources with regard to the Knowledge Organization discourse and discuss how a highly complex information environment like grammis benefits from the re-designed terminological KOS.

中文翻译：

---

经过经验验证，由本体论构造和语言驱动的在线术语

术语资源在组织和检索科学文献中起着核心作用。简单的关键字列表和术语概念之间的关系的高级建模都可以对Web或本地存储库中的适当数字文档的分析，分类和查找做出最有价值的贡献。对于历史悠久且具有难以捉摸的理论和历史分支的科学领域而言，这似乎尤其正确，因为在这些领域中，来自不同来源的文档中术语的使用常常相差甚远。在本文中，我们报告了有关语言信息的语法信息系统语法术语资源的本体论重塑项目的进展。我们介绍设计原理及其应用结果。尤其是，我们将重点放在创作后端的新功能上，并讨论这些创新如何帮助评估现有的，结构松散的术语内容，以及有效地处理自动术语提取。此外，我们对未来的SKOS表示形式进行了转换。我们以与知识组织相关的资源定位为结尾，并讨论了语法等高度复杂的信息环境如何从重新设计的术语KOS中受益。