文化遗产保护与修复的语义模型与服务综述

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Semantic Web Pub Date : 2022-08-22 DOI:10.3233/sw-223105
Efthymia Moraitou, Yannis Christodoulou, G. Caridakis
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引用次数: 5

摘要

在过去的十年中,文化遗产(CH)领域逐渐采用语义网(SW)技术来组织信息和解决互操作性问题。提出了几种语义模型,以适应信息管理的基本方面:检索、集成、重用和共享。在这种背景下,保护与恢复(CnR)的CH子领域对软件技术越来越感兴趣,试图有效地处理高度异构且通常隐蔽的CnR信息。研究了与CnR知识领域相关的语义模型。描述和讨论了CnR方面的范围、开发方法和覆盖范围。此外,对每个模型的评估、部署和当前利用进行了检查,重点关注为支持CnR专业人员提供的服务的类型和种类。通过本研究,探讨了以下研究问题:现有CnR模型在多大程度上涵盖了CnR的各个方面?现有CnR模型在多大程度上纳入了更广泛的CH领域和相关学科(例如化学)的模型?在何种方式和何种程度上,建立在审查模型之上的服务促进了CnR专业人员的各种任务?最后,根据研究结果,提出了值得进一步研究的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic models and services for conservation and restoration of cultural heritage: A comprehensive survey
Over the last decade, the Cultural Heritage (CH) domain has gradually adopted Semantic Web (SW) technologies for organizing information and for tackling interoperability issues. Several semantic models have been proposed which accommodate essential aspects of information management: retrieval, integration, reuse and sharing. In this context, the CH subdomain of Conservation and Restoration (CnR) exhibits an increasing interest in SW technologies, in an attempt to effectively handle the highly heterogeneous and often secluded CnR information. This paper investigates semantic models relevant to the CnR knowledge domain. The scope, development methodology and coverage of CnR aspects are described and discussed. Furthermore, the evaluation, deployment and current exploitation of each model are examined, with focus on the types and variety of services provided to support the CnR professional. Through this study, the following research questions are investigated: To what extent the various aspects of CnR are covered by existing CnR models? To what extent existing CnR models incorporate models of the broader CH domain and of relevant disciplines (e.g., Chemistry)? In what ways and to what extent services built upon the reviewed models facilitate CnR professionals in their various tasks? Finally, based on the findings, fields of interest that merit further investigation are suggested.
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来源期刊
Semantic Web
Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
8.30
自引率
6.70%
发文量
68
期刊介绍: The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.
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