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< h1 > References< a class = "headerlink" href = "#references" title = "Permalink to this heading" > #< / a > < / h1 >
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< span class = "label" > < span class = "fn-bracket" > [< / span > 1< span class = "fn-bracket" > ]< / span > < / span >
< p > Jonny < a class = "reference external" href = "http://arxiv.org/abs/2209.07493" > http://arxiv.org/abs/2209.07493< / a > (visited on 2023-03-01), < a class = "reference external" href = "https://arxiv.org/abs/2209.07493" > arXiv:2209.07493< / a > , < a class = "reference external" href = "https://doi.org/10.48550/arXiv.2209.07493" > doi:10.48550/arXiv.2209.07493< / a > .< / p >
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< span class = "label" > < span class = "fn-bracket" > [< / span > 2< span class = "fn-bracket" > ]< / span > < / span >
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< p > Arnaud Legout, G. < em > Proceedings of the 6th ACM SIGCOMM on Internet Measurement - IMC '06< / em > , 203. ACM Press, 2006. URL: < a class = "reference external" href = "http://portal.acm.org/citation.cfm?doid=1177080.1177106" > http://portal.acm.org/citation.cfm?doid=1177080.1177106< / a > (visited on 2018-11-09), < a class = "reference external" href = "https://doi.org/10.1145/1177080.1177106" > doi:10.1145/1177080.1177106< / a > .< / p >
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< p > Bram Cohen. Incentives Build Robustness in BitTorrent. 2003-05-22. URL: < a class = "reference external" href = "http://bittorrent.org/bittorrentecon.pdf" > http://bittorrent.org/bittorrentecon.pdf< / a > .< / p >
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< p > Maxwell Ogden. Dat - Distributed Dataset Synchronization And Versioning. 2017-01-31. URL: < a class = "reference external" href = "https://osf.io/nsv2c" > https://osf.io/nsv2c< / a > (visited on 2021-10-01), < a class = "reference external" href = "https://doi.org/10.31219/osf.io/nsv2c" > doi:10.31219/osf.io/nsv2c< / a > .< / p >
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< p > Christine Lemmer-Webber, Randy Farmer, and Juliana Sims. The Heart of Spritely: Distributed Objects and Capability Security. URL: < a class = "reference external" href = "https://www.spritely.institute/static/papers/spritely-core.html" > https://www.spritely.institute/static/papers/spritely-core.html< / a > (visited on 2023-06-07).< / p >
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< p > Jonny < a class = "reference external" href = "https://jon-e.net/surveillance-graphs" > https://jon-e.net/surveillance-graphs< / a > (visited on 2023-06-08), < a class = "reference external" href = "https://arxiv.org/abs/hc:54749" > arXiv:hc:54749< / a > , < a class = "reference external" href = "https://doi.org/10.17613/syv8-cp10" > doi:10.17613/syv8-cp10< / a > .< / p >
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< p > Jeremy Tandy, Ivan Herman, and Gregg Kellogg. Generating RDF from Tabular Data on the Web. 2015-12-17. URL: < a class = "reference external" href = "https://www.w3.org/TR/csv2rdf/" > https://www.w3.org/TR/csv2rdf/< / a > (visited on 2023-06-28).< / p >
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< p > Victor Charpenay, Maxime Lefrançois, and María < a class = "reference external" href = "https://www.w3.org/2019/wot/json-schema" > https://www.w3.org/2019/wot/json-schema< / a > (visited on 2023-06-28).< / p >
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< p > Sierra Moxon, Harold Solbrig, Deepak Unni, Dazhi Jiao, Richard Bruskiewich, James Balhoff, Gaurav Vaidya, William Duncan, Harshad Hegde, Mark Miller, Matthew Brush, Nomi Harris, Melissa Haendel, and Christopher Mungall. The linked data modeling language (linkml): a general-purpose data modeling framework grounded in machine-readable semantics. In < em > CEUR Workshop Proceedings< / em > , volume 3073, 148– < a class = "reference external" href = "https://pure.johnshopkins.edu/en/publications/the-linked-data-modeling-language-linkml-a-general-purpose-data-m" > https://pure.johnshopkins.edu/en/publications/the-linked-data-modeling-language-linkml-a-general-purpose-data-m< / a > (visited on 2023-06-28).< / p >
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< p > John Kunze, Scout Calvert, Jeremy < em > Data Science Journal< / em > , 16(0):39, 2017-08-14. URL: < a class = "reference external" href = "http://datascience.codata.org/articles/10.5334/dsj-2017-039/" > http://datascience.codata.org/articles/10.5334/dsj-2017-039/< / a > (visited on 2022-09-07), < a class = "reference external" href = "https://doi.org/10.5334/dsj-2017-039" > doi:10.5334/dsj-2017-039< / a > .< / p >
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