This paper introduces KwicKwocKwac 1.0 (KwicKK), a web application designed to enhance the annotation and enrichment of digital texts in the humanities. KwicKK provides a user-friendly interface that enables scholars and researchers to perform semi-automatic markup of textual documents, facilitating the identification of relevant entities such as people, organizations, and locations. Key functionalities include the visualization of annotated texts using KeyWord in Context (KWIC), KeyWord Out Of Context (KWOC), and KeyWord After Context (KWAC) methodologies, alongside automatic disambiguation of generic references and integration with Wikidata for Linked Open Data connections. The application supports metadata input and offers multiple download formats, promoting accessibility and ease of use. Developed primarily for the National Edition of Aldo Moro's works, KwicKK aims to lower the technical barriers for users while fostering deeper engagement with digital scholarly resources. The architecture leverages contemporary web technologies, ensuring scalability and reliability. Future developments will explore user experience enhancements, collaborative features, and integration of additional data sources.

翻译：本文介绍KwicKwocKwac 1.0（简称KwicKK），这是一个旨在加强人文学科数字文本标注与语义增强的Web应用程序。KwicKK提供直观的用户界面，支持学者与研究人员对文本文档进行半自动标注，便于识别人物、机构、地点等相关实体。其核心功能包括：基于上下文关键词（KWIC）、上下文外关键词（KWOC）及后文关键词（KWAC）方法的标注文本可视化，通用指称的自动消歧，以及与维基数据的关联开放数据连接集成。该应用支持元数据输入并提供多种下载格式，提升了可访问性与易用性。KwicKK主要为《阿尔多·莫罗著作国家版》项目开发，旨在降低用户技术门槛，促进对数字学术资源的深度利用。系统架构采用现代Web技术，确保可扩展性与可靠性。未来开发将聚焦于用户体验优化、协作功能扩展以及多源数据集成。