作为关联数据的传记集的历史分析:芬兰国家传记案例

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Semantic Web Pub Date : 2022-08-30 DOI:10.3233/sw-222887
Minna Tamper, Petri Leskinen, E. Hyvönen, Risto Valjus, Kirsi Keravuori
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引用次数: 18

摘要

个人传记集可以在网上仔细阅读。但是,如果文档作为数据可用,则底层文本也可以用于数据分析和远程读取。这些数据可用于创建传记数据的智能用户界面,包括用于可视化、数据分析和传记和人文学研究中的知识发现的数字人文工具。在本文中,我们从史学的角度重新使用传记收集数据来分析潜在的收集。例如:什么样的人被包括在收藏中?描述女性传记的语言与描述男性传记的语言不同吗?作为一个案例研究,芬兰国家传记作为链接开放数据服务和语义门户bioysampo -芬兰传记语义网的一部分被使用。这些分析显示了有趣的结果,例如,如何代表和描绘特定的人文学群体,如妇女或专业群体。各种新的统计和网络分析的传记提出。我们的分析为《国家传记》的编辑以及传记、传记学和史学方面的研究人员提供了新的见解。所提出的方法也可以应用于其他国家类似的传记收藏。
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Analyzing biography collections historiographically as Linked Data: Case National Biography of Finland
Biographical collections are available on the Web for close reading. However, the underlying texts can also be used for data analysis and distant reading, if the documents are available as data. Such data is usable for creating intelligent user interfaces to biographical data, including Digital Humanities tooling for visualizations, data analysis, and knowledge discovery in biographical and prosopographical research. In this paper, we re-use biographical collection data from a historiographical perspective for analyzing the underlying collection. For example: What kind of people have been included in the collection? Does the language used for describing female biographees differ from that for men? As a case study, the Finnish National Biography, available as part of the Linked Open Data service and semantic portal BiographySampo – Finnish Biographies on the Semantic Web is used. The analyses show interesting results related to, e.g., how specific prosopographical groups, such as women or professional groups are represented and portrayed. Various novel statistics and network analyses of the biographees are presented. Our analyses give new insights to the editors of the National Biography as well as to researchers in biography, prosopography, and historiography. The presented approach can be applied also to similar biography collections in other countries.
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来源期刊
Semantic Web
Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
8.30
自引率
6.70%
发文量
68
期刊介绍: The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.
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