KwicKK助学者快速标注文学文本，自动识别人物组织地点并连接维基数据。
KwicKwocKwac, a tool for rapidly generating concordances and marking up a literary text
- 基于网页的半自动标记工具，支持关键词上下文可视化
- 自动消歧通用指代，可连接维基数据构建开放链接
- 适合人文领域研究者，降低数字文本处理技术门槛
本文介绍 KwicKwocKwac 1.0（简称 KwicKK），一款面向人文学科数字文本标注与增强的网页应用。该工具提供友好的用户界面，支持学者对文本进行半自动标记，识别人物、组织、地点等实体。核心功能包括使用关键词在上下文（KWIC）、关键词脱离上下文（KWOC）和关键词后续上下文（KWAC）方法可视化标注结果，实现通用指代的自动消歧，并集成维基数据以建立开放链接。支持元数据输入及多种下载格式，提升可用性。系统主要为阿尔多·莫罗全集国家版开发，旨在降低用户技术门槛，促进对数字学术资源的深入参与。架构采用现代网页技术，确保可扩展性与可靠性。未来将优化用户体验、增加协作功能并整合更多数据源。
原文摘要 · Abstract (English)
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.
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