{"title":"Reductio ad absurdum?: From Analogue Hypertext to Digital Humanities","authors":"Terhi Nurmikko-Fuller, Paul Pickering","doi":"10.1145/3465336.3475107","DOIUrl":null,"url":null,"abstract":"In this paper we report on a complex and complete archive of historical primary sources that map the political landscape of the anglophone world in the mid-to late 1800s. The ruthless pragmatism applied to the construction of the initial Humanities dataset resulted in an analogue equivalent of a hypertext system, which has already resulted in published academic books and articles. Here, we describe the processes of a current project, which consists of the translation of this analogue information aggregation system into a graph database using Linked Data and semantic Web technologies.","PeriodicalId":325072,"journal":{"name":"Proceedings of the 32nd ACM Conference on Hypertext and Social Media","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 32nd ACM Conference on Hypertext and Social Media","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3465336.3475107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper we report on a complex and complete archive of historical primary sources that map the political landscape of the anglophone world in the mid-to late 1800s. The ruthless pragmatism applied to the construction of the initial Humanities dataset resulted in an analogue equivalent of a hypertext system, which has already resulted in published academic books and articles. Here, we describe the processes of a current project, which consists of the translation of this analogue information aggregation system into a graph database using Linked Data and semantic Web technologies.
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