Computer Science > Digital Libraries
arXiv:2204.10766 (cs)
[Submitted on 22 Apr 2022 (v1), last revised 10 Mar 2023 (this version, v3)]
Title:From Books to Knowledge Graphs
View a PDF of the paper titled From Books to Knowledge Graphs, by Natallia Kokash and 3 other authors
View PDFAbstract:The digital transformation of the scientific publishing industry has led to dramatic improvements in content discoverability and information analytics. Unfortunately, these improvements have not been uniform across research areas. The scientific literature in the arts, humanities and social sciences (AHSS) still lags behind, in part due to the scale of analog backlogs, the persisting importance of national languages, and a publisher ecosystem made of many, small or medium enterprises. We propose a bottom-up approach to support publishers in creating and maintaining their own publication knowledge graphs in the open domain. We do so by releasing a pipeline able to extract structured information from the bibliographies and indexes of AHSS publications, disambiguate, normalize and export it as linked data. We test the proposed pipeline on Brill's Classics collection, and release an implementation in open source for further use and improvement.
| Subjects: | Digital Libraries (cs.DL) |
| Cite as: | arXiv:2204.10766 [cs.DL] |
| (orarXiv:2204.10766v3 [cs.DL] for this version) | |
| https://doi.org/10.48550/arXiv.2204.10766 arXiv-issued DOI via DataCite | |
| Journal reference: | Journal of Data Mining & Digital Humanities, 2023 (March 13, 2023) jdmdh:9380 |
| Related DOI: | https://doi.org/10.46298/jdmdh.9380 DOI(s) linking to related resources |
Submission history
From: Giovanni Colavizza [view email][v1] Fri, 22 Apr 2022 15:33:06 UTC (2,089 KB)
[v2] Thu, 15 Sep 2022 07:23:40 UTC (1,837 KB)
[v3] Fri, 10 Mar 2023 09:50:15 UTC (925 KB)
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View a PDF of the paper titled From Books to Knowledge Graphs, by Natallia Kokash and 3 other authors
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