Cultural Heritage Data Management: The Role of Formal Ontology and CIDOC CRM

Cultural Heritage Data Management: The Role of Formal Ontology and CIDOC CRM. Bruseker, G., Carboni, N., & Guillem, A. In Vincent, M. L., López-Menchero Bendicho, V. M., Ioannides, M., & Levy, T. E., editors, Heritage and Archaeology in the Digital Age: Acquisition, Curation, and Dissemination of Spatial Cultural Heritage Data, of Quantitative Methods in the Humanities and Social Sciences, pages 93–131. Springer International Publishing, Cham, 2017. 🏷️ /unread

Paper abstract bibtex

Building models for integrating the diverse data generated in Cultural Heritage disciplines is a long-term challenge both for securing presently generated knowledge and for making it progressively more widely accessible and interoperable into the future. This chapter reviews the multiple approaches undertaken to address this problem, finally proposing CIDOC CRM as the most robust solution for information integration in CH. The chapter begins by outlining the data challenge specific to the field and the main approaches that can be taken in facing it. Within this frame, it distinguishes knowledge engineering and formal ontology from other information modelling techniques as the necessary approach for tackling the broader data integration problem. It then outlines the basic principles of CIDOC CRM, the ISO standard formal ontology for CH. From there, an overview is given of some of the work that has been done both theoretically and in practice over the past five years in developing and implementing CRM as a practical data integration strategy in CH, particularly looking at model extensions to handle knowledge provenance across various disciplines and typical documentation and reasoning activities, as well as at successful implementation projects. Lastly, it summarizes the present potentials and challenges for using CIDOC CRM for solving the CH data management and integration puzzle. The intended audience of this chapter are specialists from all backgrounds within the broader domain of CH with an interest in data integration and CIDOC CRM. 【摘要翻译】建立整合文化遗产学科所产生的各种数据的模型是一项长期的挑战，既要确保目前所产生的知识，又要使这些知识在未来能够被更广泛地获取并具有互操作性。本章回顾了为解决这一问题而采取的多种方法，最后提出了 CIDOC CRM，作为文化遗产信息整合的最有力的解决方案。本章首先概述了该领域特有的数据挑战以及应对挑战的主要方法。在此框架内，本章将知识工程和正式本体与其他信息建模技术区分开来，将其作为解决更广泛的数据整合问题的必要方法。然后，它概述了 CIDOC CRM 的基本原则，CIDOC CRM 是用于 CH 的 ISO 标准正式本体。然后，概述了过去五年中在开发和实施 CRM 作为 CH 实用数据集成战略方面所做的一些理论和实践工作，特别是处理跨学科知识出处的模型扩展、典型文档和推理活动，以及成功的实施项目。最后，本章总结了使用 CIDOC CRM 解决 CH 数据管理和集成难题的当前潜力和挑战。本章的目标读者是对数据集成和 CIDOC CRM 感兴趣的、来自更广泛的 CH 领域的各种背景的专家。

@incollection{bruseker2017,
	address = {Cham},
	series = {Quantitative {Methods} in the {Humanities} and {Social} {Sciences}},
	title = {Cultural {Heritage} {Data} {Management}: {The} {Role} of {Formal} {Ontology} and {CIDOC} {CRM}},
	isbn = {978-3-319-65370-9},
	shorttitle = {文化遗产数据管理：正式本体论和 {CIDOC} {CRM} 的作用},
	url = {https://doi.org/10.1007/978-3-319-65370-9_6},
	abstract = {Building models for integrating the diverse data generated in Cultural Heritage disciplines is a long-term challenge both for securing presently generated knowledge and for making it progressively more widely accessible and interoperable into the future. This chapter reviews the multiple approaches undertaken to address this problem, finally proposing CIDOC CRM as the most robust solution for information integration in CH. The chapter begins by outlining the data challenge specific to the field and the main approaches that can be taken in facing it. Within this frame, it distinguishes knowledge engineering and formal ontology from other information modelling techniques as the necessary approach for tackling the broader data integration problem. It then outlines the basic principles of CIDOC CRM, the ISO standard formal ontology for CH. From there, an overview is given of some of the work that has been done both theoretically and in practice over the past five years in developing and implementing CRM as a practical data integration strategy in CH, particularly looking at model extensions to handle knowledge provenance across various disciplines and typical documentation and reasoning activities, as well as at successful implementation projects. Lastly, it summarizes the present potentials and challenges for using CIDOC CRM for solving the CH data management and integration puzzle. The intended audience of this chapter are specialists from all backgrounds within the broader domain of CH with an interest in data integration and CIDOC CRM.

【摘要翻译】建立整合文化遗产学科所产生的各种数据的模型是一项长期的挑战，既要确保目前所 产生的知识，又要使这些知识在未来能够被更广泛地获取并具有互操作性。本章回顾了为解决这一问题而采取的多种方法，最后提出了 CIDOC CRM，作为文化遗产信息整合的最有力的解决方案。本章首先概述了该领域特有的数据挑战以及应对挑战的主要方法。在此框架内，本章将知识工程和正式本体与其他信息建模技术区分开来，将其作为解决更广泛的数据整合问题的必要方法。然后，它概述了 CIDOC CRM 的基本原则，CIDOC CRM 是用于 CH 的 ISO 标准正式本体。然后，概述了过去五年中在开发和实施 CRM 作为 CH 实用数据集成战略方面所做的一些理论和实践工作，特别是处理跨学科知识出处的模型扩展、典型文档和推理活动，以及成功的实施项目。最后，本章总结了使用 CIDOC CRM 解决 CH 数据管理和集成难题的当前潜力和挑战。本章的目标读者是对数据集成和 CIDOC CRM 感兴趣的、来自更广泛的 CH 领域的各种背景的专家。},
	language = {en},
	urldate = {2023-08-18},
	booktitle = {Heritage and {Archaeology} in the {Digital} {Age}: {Acquisition}, {Curation}, and {Dissemination} of {Spatial} {Cultural} {Heritage} {Data}},
	publisher = {Springer International Publishing},
	author = {Bruseker, George and Carboni, Nicola and Guillem, Anaïs},
	editor = {Vincent, Matthew L. and López-Menchero Bendicho, Víctor Manuel and Ioannides, Marinos and Levy, Thomas E.},
	year = {2017},
	note = {🏷️ /unread},
	keywords = {/unread},
	pages = {93--131},
}

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