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Evolution Digital history
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57 C. Grover, S. Givon, R. Tobin and J. Ball, ‘Named entity recognition for historical texts’, Proceedings of the Sixth International Conference on Language Resources and Evaluation (Marrakech, 2008), <http://www.lrec-conf.org/proceedings/lrec2008/pdf/342_paper.pdf> [accessed 12 Feb.
2008 – saw China emerging as the country with the largest number of internet users, overtaking the US. Music sharing site Spotify was launched in this year.
2010 – Messaging app for mobiles, WhatsApp was launched in this year.
2011 – web use overtook TV viewership, especially among the young generation, and Google + and Google Panda were launched.
2014 – witnessed the launch of Facebook messenger, and tailored ads on LinkedIn and other social platforms.
2015 – this year was the dawn of the ‘wearables’, predictive technology, and active content marketing, and inbound marketing growth.
296, <https://www.oah.org/tah/issues/2016/february/new-forms-of-history-critiquing-data-and-its-representations/>. In practice, only historians with an interest in the epistemology of digital objects and processes will engage with this rigorous form of hermeneutics.
49–61, <https://doi.org/10.1016/j.websem.2018.03.001>. Despite the potential of RDF, its use remains a technical barrier for many, a problem which has led to a discussion on emphasising usability for non-technical users through Linked Open Usable Data.
2018, <https://doi.org/10.5281/zenodo.1412137>. 38 Melvin Wevers and Thomas Smits, ‘The visual digital turn: using neural networks to study historical images’, Digital Scholarship in the Humanities, <https://doi.org/10.1093/llc/fqy085> [accessed 30 Oct.
2019]. 39 For definitions: <http://uahost.uantwerpen.be/lse/index.php/lexicon/scholarly-edition/> and <http://uahost.uantwerpen.be/lse/index.php/lexicon/edition-digital/> [accessed 12 Dec.
18 See project RESAW (<https://resaw.eu/, https://resaw.eu/web-archives/>) and the list of IIPC members (<http://netpreserve.org/about-us/members/>), [accessed 26 Oct 2019].
2020]. What separates Transkribus – a commonly used platform for the automated recognition, transcription and searching of historical documents, from OCR-engines is the learning curve.1111 <http://transkribus.eu> [accessed 12 Feb.
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