Derivation of thesauri in archaeological conservation through synergistic collaboration between domain experts and the use of semantic and NLP technologies with a FAIR and open publication

Digital technology has significantly advanced the conservation of archaeological cultural heritage, underscoring the importance of structured data management. However, diverse innovations have led to various isolated solutions without uniform standards, creating challenges in interdisciplinary cooperation. The consortium NFDI4Objects (Thiery et al., 2023; Bibby et al., 2023) aims to harmonise this fragmented data landscape concerning human legacies from cultural history, opening new potential for knowledge generation and interdisciplinary linking. Within the consortium, Task Area 4 - "Protecting" (Himmelmann et al., 2024; Fella, Mempel-Länger, and Witt, 2024) focuses on managing and protecting cultural heritage, enhancing the accessibility and exchange of conservation data and facilitating interdisciplinary research using data-driven methodologies. To achieve this, it is necessary to overcome barriers, such as using different specialised terminology. Different terms can describe the same objects or conservation methods even within individual specialist communities, complicating clear communication and understanding of described entities. This challenge intensifies across disciplinary boundaries. Controlled vocabularies offer a solution by enabling uniform and precise communication, improving clarity and consistency in scientific collaboration. Semantic modelling and linking can connect disparate specialist vocabularies due to the impracticality of establishing a uniform vocabulary across all disciplines. This project utilises the terminology used at the archaeological conservation of the Leibniz-Zentrum für Archäologie (LEIZA) to illustrate the process and demonstrate the potential for developing semantically networked, machine-readable specialist thesauri.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-06
DOI
https://doi.org/10.5281/zenodo.14055856
Primary Topic
Library Science and Information Systems
Type
article
Field-Weighted Citation Impact
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article

Derivation of thesauri in archaeological conservation through synergistic collaboration between domain experts and the use of semantic and NLP technologies with a FAIR and open publication

Zenodo (CERN European Organization for Nuclear Research)
Library Science and Information Systems
article

Derivation of thesauri in archaeological conservation through synergistic collaboration between domain experts and the use of semantic and NLP technologies with a FAIR and open publication

article en

Abstract

Digital technology has significantly advanced the conservation of archaeological cultural heritage, underscoring the importance of structured data management. However, diverse innovations have led to various isolated solutions without uniform standards, creating challenges in interdisciplinary cooperation. The consortium NFDI4Objects (Thiery et al., 2023; Bibby et al., 2023) aims to harmonise this fragmented data landscape concerning human legacies from cultural history, opening new potential for knowledge generation and interdisciplinary linking. Within the consortium, Task Area 4 - "Protecting" (Himmelmann et al., 2024; Fella, Mempel-Länger, and Witt, 2024) focuses on managing and protecting cultural heritage, enhancing the accessibility and exchange of conservation data and facilitating interdisciplinary research using data-driven methodologies. To achieve this, it is necessary to overcome barriers, such as using different specialised terminology. Different terms can describe the same objects or conservation methods even within individual specialist communities, complicating clear communication and understanding of described entities. This challenge intensifies across disciplinary boundaries. Controlled vocabularies offer a solution by enabling uniform and precise communication, improving clarity and consistency in scientific collaboration. Semantic modelling and linking can connect disparate specialist vocabularies due to the impracticality of establishing a uniform vocabulary across all disciplines. This project utilises the terminology used at the archaeological conservation of the Leibniz-Zentrum für Archäologie (LEIZA) to illustrate the process and demonstrate the potential for developing semantically networked, machine-readable specialist thesauri.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 36%
Library Science and Information Systems
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