Mixed-methods Digital Oral History: Enfolding semantic web technologies and historical-interpretative analysis
Mixed-methods Digital Oral History: Enfolding semantic web technologies and historical-interpretative analysis
批准号:
AH/Y007557/1
负责人:
Andreas Vlachidis
金额:
$44.55万
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
项目状态:
未结题
起止时间:
2024 至 --
中文摘要
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代表性技术来捕捉和放大原本不会被听到的声音。然而,尽管口述历史长期使用技术,但到目前为止,它对人文科学的数字化转向的参与是有限的,更多地侧重于记录和可获得性,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来发布和传播采访,或者根据时间戳、特定项目的注释和特定采访的关键字审问个别采访。该领域几乎没有参与正在进行的人文学科其他领域的研究,例如历史学,这表明语义网技术开辟了一个新的研究质量地平线的潜力。这些技术基于RDF、RDFS或OWL等形式化语言,可以描述数据之间的含义和联系,以定义概念、人、地点和任何类型的实体,促进多方面的检索、推理、优化数据集成和知识重用。这个项目寻求释放的正是这种创新和深远的研究潜力。该项目将汇集英国和德国的经验丰富的研究人员,询问如何动员和融合语义网技术、历史解释分析和数字研究方法,以推动口述历史研究的“数字方法论-解释学转向”。将数字人文历史的新兴分支领域定位为这项研究的典范案例研究,该项目将试图了解数字技术对人文知识的生产、组织和“人的逃避”(反之亦然)的影响。在这样做的过程中,它将以知识图谱的形式开发并免费提供相互关联的实体的可互操作的基础设施,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、可重用性和可获取性。此外,该项目将产生关于形成、颠覆和变化过程的新的历史知识和数据,这些过程支撑了技术在更广泛的人文学科中的应用,导致了现在被称为数字人文的领域。使用公平(可查找、可访问、可互操作、可重用)原则,我们将倡导数据共享和重用,确保我们项目的透明度和可靠性。这个项目将口述历史作为来源和过程,语义网技术和数字方法相结合,将创建新的知识、数字艺术品和解释学批判性反思,这些领域涉及口述历史和知识史、人文和科学史、信息研究和包括语义技术在内的计算机科学
英文摘要
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
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国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
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批准号:60872130
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项目类别:面上项目
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资助金额:28.0万元
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批准年份:2008
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负责人:刘国才
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依托单位:
Computational Methods for Analyzing Toponome Data
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批准号:60601030
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2006
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负责人:Axel Mosig
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依托单位: