语义网上的数字人文:Sampo模型与门户系列

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Semantic Web Pub Date : 2022-08-29 DOI:10.3233/sw-223034
E. Hyvönen
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引用次数: 42

摘要

文化遗产(CH)内容通常紧密相连,但发布在异构的、分布式的本地数据筒仓中,因此很难在全球层面上利用这些数据。此外,这些内容通常只供人类阅读,而不是作为数字人文(DH)分析和应用程序开发的数据。本应用报告通过提出卫生保健关联数据的协作发布模型和为卫生保健研究和应用程序创建共享数据服务和语义门户的六项设计原则来解决这些问题。这种Sampo模式在2002-2021年通过开发Sampo系列关联数据服务和使用的语义门户的经验教训逐渐发展,包括MuseumFinland (2004), CultureSampo (2009), BookSampo (2011), WarSampo (2015), Norssit Alumni(2017),美国国会Prosopographer (2018), NameSampo(2019),传记Sampo (2019), war受害者Sampo 1914-1922 (2019), MMM (2020), AcademySampo (2021), FindSampo (2021), WarMemoirSampo(2021)和LetterSampo(2022)。本文调查的这些语义Web应用程序涵盖了语义Web的广泛应用领域,并在语义Web上吸引了多达数百万的用户,这表明所提出的Sampo模型的可行性。这项工作显示了CH语义门户研究的重点从数据聚合和探索系统(1)转移。生成系统)到支持DH研究的系统(2)。生成系统)与数据分析工具,最后到自动知识发现和人工智能(3)。一代系统)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital humanities on the Semantic Web: Sampo model and portal series
Cultural heritage (CH) contents are typically strongly interlinked, but published in heterogeneous, distributed local data silos, making it difficult to utilize the data on a global level. Furthermore, the content is usually available only for humans to read, and not as data for Digital Humanities (DH) analyses and application development. This application report addresses these problems by presenting a collaborative publication model for CH Linked Data and six design principles for creating shared data services and semantic portals for DH research and applications. This Sampo model has evolved gradually in 2002–2021 through lessons learned when developing the Sampo series of linked data services and semantic portals in use, including MuseumFinland (2004), CultureSampo (2009), BookSampo (2011), WarSampo (2015), Norssit Alumni (2017), U.S. Congress Prosopographer (2018), NameSampo (2019), BiographySampo (2019), WarVictimSampo 1914–1922 (2019), MMM (2020), AcademySampo (2021), FindSampo (2021), WarMemoirSampo (2021), and LetterSampo (2022). These Semantic Web applications surveyed in this paper cover a wide range of application domains in CH and have attracted up to millions of users on the Semantic Web, suggesting feasibility of the proposed Sampo model. This work shows a shift of focus in research on CH semantic portals from data aggregation and exploration systems (1. generation systems) to systems supporting DH research (2. generation systems) with data analytic tools, and finally to automatic knowledge discovery and Artificial Intelligence (3. generation systems).
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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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