AI trends in digital humanities research

Author:

George PavlidisORCID

Abstract

Recent advances in specialised equipment and computational methods had a significant impact in the Humanities and, particularly, cultural heritage and archaeology research. Nowadays, digital technology applications contribute in a daily basis to the recording, preservation, research and dissemination of cultural heritage. Digitisation is the defining practice that bridges science and technology with the Humanities, either in the tangible or in the intangible forms. The digital replicas support a wide range of studies and the opening of new horizons in the Humanities research. Furthermore, advances in artificial intelligence methods and their successful application in core technical domains opened up new possibilities to support Humanities research in particularly demanding and challenging tasks. This paper focuses on the forthcoming future of intelligent applications in archaeology and cultural heritage, by reviewing recent developments ranging from deep and reinforcement learning approaches to recommendation technologies in the extended reality domain.

Publisher

Peertechz Publications Private Limited

Reference67 articles.

1. 1. Nilsson NJ. Artificial intelligence: a new synthesis. Morgan Kaufmann, San Francisco, USA, isbn 1998; 978-1558604674 edition.

2. 2. Poole D, Mackworth A, Goebel R. Computational Intelligence: A Logical Approach. Oxford University, 4th edition, 2006; isbn 978-0195685725 edition.

3. 3. Luger GF. Artificial intelligence: structures and strategies for complex problem solving. Pearson Addison-Wesley, USA, 6th edition, isbn 2008; 978-0321545893 edition.

4. 4. Goodfellow I, Bengio Y, Courville A. Deep learning. MIT press, Massachusetts, USA, isbn 978-0262035613 edition 2016.

5. 5. Poole DL, Mackworth AK. Artificial Intelligence: Foundations of Computational Agents. Cambridge University Press, Cambridge, United Kingdom, 2nd edition. 2017; isbn 978-1107195394 edition.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Linguistic annotation of cuneiform texts using treebanks and deep learning;Digital Scholarship in the Humanities;2024-02-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3