Mixed-methods Digital Oral History: Enfolding semantic web technologies and historical-interpretative analysis

混合方法数字口述历史：包含语义网络技术和历史解释分析

• 批准号: AH/Y007557/1
• 负责人: Andreas Vlachidis
• 金额: $ 44.55万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=AH%2FY007557%2F1
• 关键词: Mixed; methods; Digital; Oral; History

Long before social media and the internet, oral history used representational technologies, like the tape recorder, to capture and amplify voices that would otherwise have gone unheard. Yet, despite oral history's long use of technology, its engagement with the digital turn in the humanities has thus far been limited, focussing more on recording and accessibility rather than analysis and new research possibilities. Oral historians are predominately using the digital to publish and disseminate interviews or to interrogate individual interviews according to timestamp, project-specific annotation and interview-specific keywords. The field has engaged little with research that is ongoing in other fields of the Humanities, such as History, which is showing the potential of Semantic Web technologies to open a new quality of research horizon. Based on formal languages such as RDF, RDFS or OWL, these technologies can describe the meaning and the connections among data to define concepts, persons, places, and any kind of entity and to facilitate multifaceted retrieval, reasoning, optimal data integration and knowledge reuse. It is this innovative and far-reaching research potential that this project seeks to unlock. This project will bring together experienced researchers in the UK and Germany to ask how semantic web technologies, historical-interpretative analysis and digital research methods can be mobilised and interfolded to foment a 'digital methodological- hermeneutical turn' in oral history research. Positioning the emerging sub-field of the history of Digital Humanities as an exemplary case study for this research, this project will seek to understand the impacts that digital technology is making on the production, organisation and 'peoplescapes' of Humanities knowledge (and vice versa). In doing so, it will develop and make freely available an interoperable infrastructure of interconnected entities, in the form of a Knowledge Graph, to promote shared understanding, information representation, interrogation and discovery whilst ensuring data consistency, reusability and accessibility. Moreover, this project will generate new historical knowledge and data about the processes of formation, disruption and change that have underpinned the take up of technology in the wider Humanities, leading to the field now known as Digital Humanities. Using FAIR (Findable, Accessible, Interoperable, Reusable) principles we will advocate data sharing and reuse, ensuring transparency and reliability of our project. Combining oral history as a source and process, semantic web technologies and digital methods, this project will create new knowledge, digital artefacts and hermeneutic critical reflections that have relevance right across the fields of oral history and the history of knowledge, the history of the humanities and science, information studies and computer science including semantic technologies

早在社交媒体和互联网出现之前，口述历史就使用了录音机等再现技术来捕捉和放大那些原本听不到的声音。然而，尽管口述历史长期使用技术，但它与人文学科数字化的接触迄今为止仍然有限，更多地关注记录和可访问性，而不是分析和新的研究可能性。口述历史学家主要使用数字出版和传播访谈，或根据时间戳、项目特定注释和访谈特定关键词询问个人访谈。该领域很少参与人文学科其他领域正在进行的研究，如历史，这表明语义网技术有潜力开辟一个新的研究视野。基于RDF、RDFS或OWL等形式化语言，这些技术可以描述数据之间的含义和联系，以定义概念、人员、地点和任何类型的实体，并促进多方面的检索、推理、最佳数据集成和知识重用。正是这种创新和深远的研究潜力，这个项目试图解锁。这个项目将汇集在英国和德国经验丰富的研究人员，询问如何语义网络技术，历史解释分析和数字研究方法可以动员和交织，以促进口述历史研究的“数字方法论-解释学转向”。定位数字人文历史的新兴子领域作为本研究的典型案例研究，该项目将寻求了解数字技术对人文知识的生产，组织和“peoplescapes”的影响（反之亦然）。在此过程中，它将以知识图谱的形式开发并免费提供相互关联实体的可互操作基础设施，以促进共同理解、信息表示、询问和发现，同时确保数据的一致性、可重复使用性和可访问性。此外，该项目将产生新的历史知识和数据的形成，破坏和变化的过程中，支撑了技术在更广泛的人文学科，导致现在被称为数字人文领域。使用FAIR（Findable，Interoperable，Reusable）原则，我们将倡导数据共享和重用，确保项目的透明度和可靠性。结合口述历史作为一个来源和过程，语义网络技术和数字方法，该项目将创造新的知识，数字文物和诠释学批判性反思，这些知识，知识，人文和科学史，信息研究和计算机科学，包括语义技术，都具有相关性。