@article{beretta2021,
	title = {A challenge for historical research: {Making} data {FAIR} using a collaborative ontology management environment ({OntoME})},
	volume = {12},
	issn = {1085-3278},
	shorttitle = {历史研究面临的挑战：利用协作式本体管理环境（{OntoME}）实现数据的公平与公正},
	url = {https://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/SW-200416},
	doi = {10.3233/SW-200416},
	abstract = {This paper addresses the issue of interoperability of data generated by historical research and heritage institutions in order to make them re-usable for new research agendas according to the FAIR principles. After introducing the symogih.org project’s ontology, it proposes a description of the essential aspects of the process of historical knowledge production. It then develops an epistemological and semantic analysis of conceptual data modelling applied to factual historical information, based on the foundational ontologies Constructive Descriptions and Situations and DOLCE, and discusses the reasons for adopting the CIDOC CRM as a core ontology for the field of historical research, but extending it with some relevant, missing high-level classes. Finally, it shows how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal fine-grained and adaptive ontology of the domain, provided an active research community engages in this process. With this in mind, the Data for history consortium was founded in 2017 and promotes the adoption of a shared conceptualization in the field of historical research.

【摘要翻译】本文探讨了历史研究和遗产机构生成的数据的互操作性问题，目的是使这些数据能够根据 FAIR 原则重新用于新的研究议程。在介绍了 symogih.org 项目的本体论之后，本文对历史知识生产过程的基本方面进行了描述。然后，它以基础本体 "建设性描述与情境 "和 "DOLCE "为基础，对应用于事实历史信息的概念数据模型进行了认识论和语义学分析，并讨论了采用 CIDOC CRM 作为历史研究领域核心本体的原因，同时对其进行了扩展，增加了一些相关的、缺失的高级类。最后，它还展示了在本体管理环境 OntoME 中开展的协作数据建模是如何在一个活跃的研究社区参与的情况下，为该领域创建一个共用的、细粒度的和自适应的本体的。有鉴于此，历史数据联盟于2017年成立，并推动在历史研究领域采用共享概念化。},
	language = {en},
	number = {2},
	urldate = {2021-03-16},
	journal = {Chronos},
	author = {Beretta, Francesco},
	editor = {Bikakis, Antonis and Markhoff, Beatrice and Mosca, Alessandro and Jean, Stephane and Hyvönen, Eero and Bikakis, Antonis and Hyvonen, Eero and Jean, Stéphane and Markhoff, Beatrice and Mosca, Alessandro},
	month = jan,
	year = {2021},
	note = {🏷️ /unread},
	keywords = {/unread},
	pages = {279--294},
}

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It then develops an epistemological and semantic analysis of conceptual data modelling applied to factual historical information, based on the foundational ontologies Constructive Descriptions and Situations and DOLCE, and discusses the reasons for adopting the CIDOC CRM as a core ontology for the field of historical research, but extending it with some relevant, missing high-level classes. Finally, it shows how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal fine-grained and adaptive ontology of the domain, provided an active research community engages in this process. With this in mind, the Data for history consortium was founded in 2017 and promotes the adoption of a shared conceptualization in the field of historical research. 【摘要翻译】本文探讨了历史研究和遗产机构生成的数据的互操作性问题，目的是使这些数据能够根据 FAIR 原则重新用于新的研究议程。在介绍了 symogih.org 项目的本体论之后，本文对历史知识生产过程的基本方面进行了描述。然后，它以基础本体 \"建设性描述与情境 \"和 \"DOLCE \"为基础，对应用于事实历史信息的概念数据模型进行了认识论和语义学分析，并讨论了采用 CIDOC CRM 作为历史研究领域核心本体的原因，同时对其进行了扩展，增加了一些相关的、缺失的高级类。最后，它还展示了在本体管理环境 OntoME 中开展的协作数据建模是如何在一个活跃的研究社区参与的情况下，为该领域创建一个共用的、细粒度的和自适应的本体的。有鉴于此，历史数据联盟于2017年成立，并推动在历史研究领域采用共享概念化。","language":"en","number":"2","urldate":"2021-03-16","journal":"Chronos","author":[{"propositions":[],"lastnames":["Beretta"],"firstnames":["Francesco"],"suffixes":[]}],"editor":[{"propositions":[],"lastnames":["Bikakis"],"firstnames":["Antonis"],"suffixes":[]},{"propositions":[],"lastnames":["Markhoff"],"firstnames":["Beatrice"],"suffixes":[]},{"propositions":[],"lastnames":["Mosca"],"firstnames":["Alessandro"],"suffixes":[]},{"propositions":[],"lastnames":["Jean"],"firstnames":["Stephane"],"suffixes":[]},{"propositions":[],"lastnames":["Hyvönen"],"firstnames":["Eero"],"suffixes":[]},{"propositions":[],"lastnames":["Bikakis"],"firstnames":["Antonis"],"suffixes":[]},{"propositions":[],"lastnames":["Hyvonen"],"firstnames":["Eero"],"suffixes":[]},{"propositions":[],"lastnames":["Jean"],"firstnames":["Stéphane"],"suffixes":[]},{"propositions":[],"lastnames":["Markhoff"],"firstnames":["Beatrice"],"suffixes":[]},{"propositions":[],"lastnames":["Mosca"],"firstnames":["Alessandro"],"suffixes":[]}],"month":"January","year":"2021","note":"🏷️ /unread","keywords":"/unread","pages":"279–294","bibtex":"@article{beretta2021,\n\ttitle = {A challenge for historical research: {Making} data {FAIR} using a collaborative ontology management environment ({OntoME})},\n\tvolume = {12},\n\tissn = {1085-3278},\n\tshorttitle = {历史研究面临的挑战：利用协作式本体管理环境（{OntoME}）实现数据的公平与公正},\n\turl = {https://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/SW-200416},\n\tdoi = {10.3233/SW-200416},\n\tabstract = {This paper addresses the issue of interoperability of data generated by historical research and heritage institutions in order to make them re-usable for new research agendas according to the FAIR principles. 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