Transdisciplinary approach to archaeological investigations in a Semantic Web perspective

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-223016
V. Lombardo, T. Karatas, M. Gulmini, L. Guidorzi, D. Angelici
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引用次数: 2

Abstract

In recent years, the transdisciplinarity of archaeological studies has greatly increased because of the mature interactions between archaeologists and scientists from different disciplines (called “archaeometers”). A number of diverse scientific disciplines collaborate to get an objective account of the archaeological records. A large amount of digital data support the whole process, and there is a great value in keeping the coherence of information and knowledge, as contributed by each intervening discipline. During the years, a number of representation models have been developed to account for the recording of the archaeological process in data bases. Lately, some semantic models, compliant with the CRMarchaeo reference model, have been developed to account for linking the institutional forms with the formal knowledge concerning the archaeological excavations and the related findings. On the contrary, the archaeometric processes have not been addressed yet in the Semantic Web community and only an upper reference model, called CRMsci, accounts for the representation of the scientific investigations in general. This paper presents a modular computational ontology for the interlinked representation of all the facts related to the archaeological and archaeometric analyses and interpretations, also connected to the recording catalogues. The computational ontology is compliant with CIDOC-CRM reference models CRMarchaeo and CRMsci and introduces a number of novel classes and properties to merge the two worlds in a joint representation. The ontology is in use in “Beyond Archaeology”, a methodological project for the establishing of a transdisciplinary approach to archaeology and archaeometry, interlinked through a semantic model of processes and objects.
语义网视角下考古调查的跨学科方法
近年来,由于考古学家与不同学科的科学家(称为“考古学家”)之间的互动日趋成熟,考古学研究的跨学科性大大增加。许多不同的科学学科合作以获得考古记录的客观描述。大量的数字数据支持整个过程,并且保持信息和知识的一致性具有很大的价值,因为每个介入的学科都做出了贡献。这些年来,已经发展了若干表示模式,以便在数据库中记录考古过程。最近,一些符合CRMarchaeo参考模型的语义模型被开发出来,以解释有关考古发掘和相关发现的制度形式与正式知识之间的联系。相反,考古过程还没有在语义网社区中得到解决,只有一个上层参考模型,称为CRMsci,说明了一般科学调查的代表性。本文提出了一个模块化的计算本体,用于与考古和考古分析和解释相关的所有事实的互连表示,也连接到记录目录。计算本体与CIDOC-CRM参考模型CRMarchaeo和CRMsci兼容,并引入了许多新的类和属性,将两个世界合并为一个联合表示。本体论被用于“超越考古学”,这是一个方法论项目,旨在通过过程和对象的语义模型建立考古学和考古计量学的跨学科方法。
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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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