Using the Semantic Web in digital humanities: Shift from data publishing to data-analysis and serendipitous knowledge discovery
Using the Semantic Web in digital humanities: Shift from data publishing to data-analysis and serendipitous knowledge discovery
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DOI：
10.3233/sw-190386
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发表时间：
2020-01-01
期刊：
影响因子：
3
通讯作者：
Hyvonen, Eero
中科院分区：
文献类型：
--
作者：
Hyvonen, Eero
本文讨论了基于关联数据的文化遗产语义门户研究重点的转变，并展望和提出了新的研究方向。确定了三代门户： 十年前，语义门户开发的研究重点是数据协调、聚合、搜索和浏览（“第一代系统”）。目前，数字人文研究的兴起已开始将重点转向为用户提供以交互方式解决研究问题的集成工具（“第二代系统”）。本文设想并认为，“第三代系统”的下一步是基于人工智能：未来的门户不仅为人类提供解决问题的工具，而且首先用于发现研究问题、解决这些问题，甚至在人类研究人员设定的约束下自动解决这些问题。这样的系统最好能够解释它们的推理，这是源批判人文研究传统的一个重要方面。第二代和第三代系统为计算机科学家和人文研究人员提出了新的挑战。
This paper discusses a shift of focus in research on Cultural Heritage semantic portals, based on Linked Data, and envisions and proposes new directions of research. Three generations of portals are identified: Ten years ago the research focus in semantic portal development was on data harmonization, aggregation, search, and browsing ("first generation systems"). At the moment, the rise of Digital Humanities research has started to shift the focus to providing the user with integrated tools for solving research problems in interactive ways ("second generation systems"). This paper envisions and argues that the next step ahead to "third generation systems" is based on Artificial Intelligence: future portals not only provide tools for the human to solve problems but are used for finding research problems in the first place, for addressing them, and even for solving them automatically under the constraints set by the human researcher. Such systems should preferably be able to explain their reasoning, which is an important aspect in the source critical humanities research tradition. The second and third generation systems set new challenges for both computer scientists and humanities researchers.