Semantic technology for cultural heritage: a bibliometric-based review

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Global Knowledge Memory and Communication Pub Date : 2023-08-22 DOI:10.1108/gkmc-04-2023-0125
Sudarsana Desul, R. Mahapatra, R. K. Patra, Mrutyunjay Sethy, Neha Pandey
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引用次数: 1

Abstract

Purpose The purpose of this study is to review the application of semantic technologies in cultural heritage (STCH) to achieve interoperability and enable advanced applications like 3D modeling and augmented reality by enhancing the understanding and appreciation of CH. The study aims to identify the trends and patterns in using STCH and provide insights for scholars and policymakers on future research directions. Design/methodology/approach This research paper uses a bibliometric study to analyze the articles published in Scopus and Web of Science (WoS)-indexed journals from 1999 to 2022 on STCH. A total of 580 articles were analyzed using the Biblioshiny package in RStudio. Findings The study reveals a substantial increase in STCH publications since 2008, with Italy leading in contributions. Key research areas such as ontologies, semantic Web, linked data and digital humanities are extensively explored, highlighting their significance and characteristics within the STCH research domain. Research limitations/implications This study only analyzed articles published in Scopus and WoS-indexed journals in the English language. Further research could include articles published in other languages and non-indexed journals. Originality/value This study extensively analyses the research published on STCH over the past 23 years, identifying the leading authors, institutions, countries and top research topics. The findings provide guidelines for future research direction and contribute to the literature on promoting, preserving and managing the CH globally.
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文化遗产的语义技术:基于文献计量学的综述
本研究的目的是回顾语义技术在文化遗产(STCH)中的应用,通过提高对文化遗产的理解和欣赏,实现互操作性,实现3D建模和增强现实等高级应用。研究旨在确定语义技术在文化遗产(STCH)中的应用趋势和模式,为学者和政策制定者未来的研究方向提供见解。设计/方法/方法本文采用文献计量学方法分析了1999年至2022年在STCH上发表在Scopus和Web of Science (WoS)索引期刊上的文章。使用RStudio中的Biblioshiny包共分析了580篇文章。研究结果表明,自2008年以来,STCH出版物大幅增加,其中意大利的贡献最多。对本体、语义网、关联数据、数字人文等重点研究领域进行了广泛探讨,突出了其在STCH研究领域中的重要性和特点。本研究仅分析了发表在Scopus和wos索引期刊上的英文文章。进一步的研究可以包括以其他语言和非索引期刊发表的文章。原创性/价值本研究广泛分析了过去23年发表在STCH上的研究,确定了主要作者、机构、国家和热门研究课题。研究结果为未来的研究方向提供了指导,并为全球范围内促进、保护和管理CH的文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Global Knowledge Memory and Communication
Global Knowledge Memory and Communication INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.20
自引率
16.70%
发文量
77
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