Monday, 06. July 2020, 10:00 - Friday, 10. July 2020, 15:00

The summer school introduces humanists of any disciplinary affiliation with basic computer literacy in digital tools, and how to create and analyse prosopographical data. (read more)

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Modelling prosopographical data and making them re-usable for new research agendas according to the FAIR principles requires an in-depth analysis on how to develop an interoperable conceptualization in the field of historical research. After introducing the symogih.org project’s patterns-based ontology approach, we’ll analyse the role that factual information plays in the process of historical knowledge production. We’ll then develop an epistemological and semantic analysis of conceptual data modelling based on the foundational ontologies Constructive Descriptions and Situations and DOLCE, and discuss the reasons for adopting the CIDOC CRM as a core ontology in the field of historical research.

• Wilkinson, Mark D., Michel Dumontier, Ijsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” Scientific Data 3 (March 15, 2016): 160018.
• Go FAIR – FAIR Principles

• [Staab 2009] Steffen Staab, ed. Handbook on ontologies, 2nd ed. Berlin: Springer, 2009.
• [Domingue et al. 2011] John Domingue, Dieter Fensel, James A. Hendler, ed. Handbook of semantic web technologies. Berlin: Springer, 2011.
• Semantic web journal

• symogih.org project's modelling patterns
• Francesco Beretta, « Pour une annotation sémantique des textes : le projet symogih.org et la Text encoding initiative », Bruniana e Campanelliana, Ricerche filosofiche e materiali storico - testuali, XXII-2, 2016, pp. 453-465.
• Francesco Beretta, « L'interopérabilité des données historiques et la question du modèle : l'ontologie du projet SyMoGIH », dans Brigitte Juanals et Jean-Luc Minel (dir.), Enjeux numériques pour les médiations scientifiques et culturelles du passé, Presses universitaires de Paris Nanterre, 2017 (cf. HalSHS)
• Marie Delcourte-Debarre, « Analyser les emboîtements d’échelles spatio-temporelles d’un territoire forestier : du système d’information géographique à la méthode SyMoGIH (Avesnois, France) », DHQ: Digital Humanities Quarterly, XII-1, 2018.
• Francesco Beretta, Rosemonde Letricot, « Le portail XML du projet symogih.org : un projet d'édition numérique collaborative de sources et d'informations historiques », dans Gérald Kembellec et Évelyne Broudoux (dir.), Ecrilecture augmentée dans les communautés scientifiques. Humanités numériques et construction des savoirs, ISTE, Londres, 2017, pp. 125-143.

• Holger Knublauch et al., « A Semantic Web Primer for Object-Oriented Software Developers – W3C Editor’s Draft », 9 mars 2006, .
• Hong-Seok Na, O-Hoon Choi, et Jung-Eun Lim, « A Metamodel-Based Approach for Extracting Ontological Semantics from UML Models. », in Web Information Systems - WISE 2006, 7th International Conference on Web Information Systems Engineering, Wuhan, China, October 23-26, 2006, Proceedings, 2006, 411‑22, .

The CIDOC CRM (an ISO norm since 2006) has been defined as a “formal ontology intended to facilitate the integration, mediation and interchange of heterogeneous cultural heritage information” (Martin Doerr). Although there are significant intersections between the two fields of cultural heritage preservation in museums and historical research, the CRM has to be extended with some relevant, missing high-level classes in order to meet the needs of the latter. Furthermore, there is a need to enrich the ontology with the modelling patterns required for the fine-grained data production in all the different fields of historical research, and notably in prosopography. We will see how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal and adaptive conceptualization of the domain.