Using the Semantic Web in digital humanities : Shift from data publishing to data-analysis and serendipitous knowledge discovery

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http://hdl.handle.net/10138/319372

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Hyvönen , E 2020 , ' Using the Semantic Web in digital humanities : Shift from data publishing to data-analysis and serendipitous knowledge discovery ' , Semantic Web – Interoperability, Usability, Applicability , vol. 11 , no. 1 , pp. 187-193 . https://doi.org/10.3233/SW-190386

Title: Using the Semantic Web in digital humanities : Shift from data publishing to data-analysis and serendipitous knowledge discovery
Author: Hyvönen, Eero
Contributor: University of Helsinki, Department of Digital Humanities
Date: 2020-01-01
Number of pages: 7
Belongs to series: Semantic Web – Interoperability, Usability, Applicability
ISSN: 1570-0844
URI: http://hdl.handle.net/10138/319372
Abstract: 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.
Subject: Data analysis
Digital Humanities
knowledge discovery
Linked Data
Semantic portals
113 Computer and information sciences
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