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DANES2023: Conference Abstracts

Authors: Gordin, Shai; Mara, Hubert; Stanovsky, Gabriel; Sáenz, Luis;

DANES2023: Conference Abstracts

Abstract

In recent decades, the rich cultural heritage of the Near East is undergoing a digital revolution. Comprehensive online repositories have made the digital publishing of artefacts in 2D images, interactive 3D models, as well as text editions, a more sustainable common practice. Furthermore, computational analyses of ancient Near Eastern artefacts, texts and art, are starting to become more prevalent, applying quantitative analyses, natural language processing (NLP) or machine learning (ML), to answer questions about these complex ancient civilizations. The conference, Computational Perspectives on Ancient Near Eastern Literature, Art and Material Culture, established a professional network for Digital Ancient Near Eastern Studies (DANES). The first working groups in the networks will consolidate the successes of recent initiatives led by different research centres, and discuss how best to integrate computational approaches and digital humanities research for ancient Near Eastern texts, art and artefacts.

Keywords

Digital Humanities, OCR, Computational Stylistics, Annotation, Digital Assyriology, cuneiform, Digital Egyptology

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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